U.S. patent application number 11/737981 was filed with the patent office on 2007-10-04 for computerized physical activity system to provide feedback.
This patent application is currently assigned to MYTRAK HEALTH SYSTEM INC.. Invention is credited to Reed Hanoun.
Application Number | 20070232455 11/737981 |
Document ID | / |
Family ID | 38559934 |
Filed Date | 2007-10-04 |
United States Patent
Application |
20070232455 |
Kind Code |
A1 |
Hanoun; Reed |
October 4, 2007 |
Computerized Physical Activity System to Provide Feedback
Abstract
A computerized physical activity system for use with exercise
machines comprises a database, sensing systems, each coupled to a
corresponding one of the exercise machines, and a computer and
communication system coupled to the database and to the sensing
systems. The database comprises information about people who will
be using the system. A sensing system senses mechanical variables
of activity of a person when exercising on the exercise machine.
The computer and communication system is arranged to process
mechanical properties of the exercise machine and the mechanical
variables of the activity to generate user performance data for the
activity, to analyze the data based, at least in part, on
information stored in the database for the person, to provide
feedback based on the data and/or the analysis thereof, and to
update the information stored in the database for the person based
on the analysis.
Inventors: |
Hanoun; Reed; (Mississauga,
CA) |
Correspondence
Address: |
INTEGRAL INTELLECTUAL PROPERTY INC.
1370 DON MILLS ROAD, SUITE 300
TORONTO
ON
M3B 3N7
CA
|
Assignee: |
MYTRAK HEALTH SYSTEM INC.
Mississauga
CA
|
Family ID: |
38559934 |
Appl. No.: |
11/737981 |
Filed: |
April 20, 2007 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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PCT/CA05/01620 |
Oct 24, 2005 |
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11737981 |
Apr 20, 2007 |
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PCT/CA05/01626 |
Oct 24, 2005 |
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11737981 |
Apr 20, 2007 |
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60620679 |
Oct 22, 2004 |
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60680474 |
May 13, 2005 |
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60620679 |
Oct 22, 2004 |
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60680474 |
May 13, 2005 |
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Current U.S.
Class: |
482/8 |
Current CPC
Class: |
A63B 71/0619 20130101;
A63B 2220/833 20130101; A63B 2220/30 20130101; A63B 2225/20
20130101; A63B 2230/065 20130101; A63B 2024/0012 20130101; A63B
21/4035 20151001; A63B 71/0686 20130101; A63B 2225/15 20130101;
A63B 24/0006 20130101; A63B 21/00069 20130101; A63B 22/0664
20130101; A63B 21/06 20130101; A63B 2230/04 20130101; A63B 21/008
20130101; A63B 21/0628 20151001; A63B 22/0056 20130101; A63B
2220/40 20130101; A63B 2220/805 20130101; A63B 2220/51 20130101;
G16H 40/67 20180101; A63B 2024/0065 20130101; A63B 2220/17
20130101; A63B 2225/50 20130101; A63B 2220/13 20130101; G16H 20/30
20180101; A63B 21/012 20130101; A63B 2071/0625 20130101; A63B
2220/16 20130101; A63B 2220/10 20130101; A63B 24/0075 20130101;
A63B 24/0084 20130101; A63B 2024/0078 20130101; A63B 2220/20
20130101; A63B 21/0083 20130101; A63B 71/0622 20130101; A63B
2024/0009 20130101; A63B 2024/0068 20130101; A63B 22/0605 20130101;
A63B 21/225 20130101; A63B 21/015 20130101; A63B 21/4034 20151001;
A63B 24/0062 20130101; A63B 2225/105 20130101; A63B 2022/0658
20130101; A63B 2220/56 20130101; A63B 2071/065 20130101; A63B
2225/54 20130101; A63B 22/02 20130101; A63B 2220/34 20130101 |
Class at
Publication: |
482/008 |
International
Class: |
A63B 71/00 20060101
A63B071/00 |
Claims
1. A computerized physical activity system for use with exercise
machines, the system comprising: a database comprising information
about people who will be using the system; sensing systems, each
coupled to a corresponding one of the exercise machines, to sense
mechanical variables of activities of a person when exercising on
the exercise machines; and a computer and communication system
coupled to the database and to the sensing systems, wherein the
computer and communication system is arranged to process mechanical
properties of the exercise machines and the mechanical variables of
the activities to generate user performance data for each of the
activities, to perform an analysis of the user performance data
based, at least in part, on information stored in the database for
the person, to provide feedback to the person when exercising on
one of the exercise machines based on the user performance data
and/or the analysis thereof for the activity of the person on the
one of the exercise machines, and to update the information stored
in the database for the person based on the analysis so that
subsequent analyses of user performance data for activities of the
person are performed based, at least in part, on the updated
information.
2. The system of claim 1, wherein the user performance data for a
particular one of the activities comprises one or more of the
following: energy exerted by the person while exercising on a
particular one of the exercise machines, range of motion of the
particular one of the activities, speed of one or more physical
components of the particular one of the exercise machines during
the particular one of the activities, and acceleration of one or
more physical components of the particular one of the exercise
machines during the particular one of the activities.
3. The system of claim 1, wherein at least one of the exercise
machines is of a different class than another of the exercise
machines.
4. The system of claim 1, wherein at least one of the exercise
machines is a cardio exercise machine.
5. The system of claim 1, wherein at least one of the exercise
machines is a weight-stack exercise machine.
6. The system of claim 1, wherein at least one of the exercise
machines is a spinning exercise machine.
7. The system of claim 1, wherein at least one of the exercise
machines is a hydraulic exercise machine.
8. The system of claim 1, further comprising: acquisition modules
near or affixed to the exercise machines to acquire an identifier
of the person.
9. The system of claim 8, further comprising: a tag storing the
identifier of the person, wherein the acquisition modules are to
acquire the identifier from the tag.
10. The system of claim 1, further comprising: a display coupled to
the computer and communication system and which is viewable by the
person when exercising on a particular one of the exercise
machines, wherein the computer and communication system is arranged
to show on the display visual feedback related to the user
performance data for the activity of the person on the particular
one of the exercise machines.
11. The system of claim 1, further comprising: a display coupled to
the computer and communication system and which is viewable by the
person when exercising on a particular one of the exercise
machines, wherein the computer and communication system is arranged
to show on the display visual feedback related to the analysis of
the user performance data for the activity of the person on the
particular one of the exercise machines.
12. The system of claim 1, further comprising: a display coupled to
the computer and communication system and which is viewable by the
person when exercising on a particular one of the exercise
machines, wherein the computer and communication system is arranged
to show on the display an indication of another of the exercise
machines to which the person, after exercising on the particular
one of the exercise machines, should proceed according to an
exercise program for the person stored in the database.
13. The system of claim 1, wherein the computer and communication
system comprises: electronic controllers, each coupled to a
corresponding one of the exercise machines, which are arranged to
handle at least a portion of the processing of the mechanical
variables.
14. The system of claim 13, wherein the computer and communication
system comprises: a computer system able to communicate with the
database and able to communicate with the electronic
controllers.
15. The system of claim 14, wherein the computer system is a
centralized computer system.
16. The system of claim 14, wherein the computer system is a
distributed computer system.
17. The system of claim 13, wherein at least one of the electronic
controllers is able to receive from a heart rate monitor heart rate
data of the person when exercising on the exercise machine that is
coupled to the electronic controller, is able to process the heart
rate data based on target heart rate zone information that is
stored in the database for the person, and is able to show on a
display viewable by the person a visual indication of a comparison
of the person's heart rate and the target heart rate zone.
18. A method for providing feedback to a person who is exercising,
the method comprising: sensing mechanical variables of activities
of the person when exercising on exercise machines; processing
mechanical properties of the exercise machines and the mechanical
variables of the activities to generate user performance data for
each of the activities; performing an analysis of the user
performance data based, at least in part, on information stored in
a database for the person; providing feedback to the person when
exercising on one of the exercise machines based on the user
performance data and/or the analysis thereof for the activity of
the person on the one of the exercise machines; and updating the
information stored in the database for the person based on the
analysis so that subsequent analyses of user performance data for
activities of the person are performed based, at least in part, on
the updated information.
19. The method of claim 18, wherein the user performance data
comprises an exercise intensity, performing the analysis comprises
performing a comparison of the exercise intensity and a target
exercise intensity stored in the database for the person, and the
feedback comprises an indication to increase, sustain or decrease
the exercise intensity based on the comparison.
20. The method of claim 19, wherein providing the feedback
comprises: displaying a first color if the indication is to
increase the exercise intensity; displaying a second color if the
indication is to sustain the exercise intensity; and displaying a
third color if the indication is to decrease the exercise
intensity.
21. The method of claim 18, further comprising: receiving heart
rate data of the person when exercising, wherein performing the
analysis is based, at least in part, on the heart rate data.
22. The method of claim 18, wherein performing the analysis is
based, at least in part, on caloric intake information for the
person.
23. The method of claim 18, wherein performing the analysis is
based, at least in part, on exercise targets for the person.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This is a continuation-in-part application claiming the
benefit under 35 USC 120 and 35 USC 365(c) of International
Application No. PCT/CA2005/001620 entitled "Method of
Characterizing Physical Performance", which was filed Oct. 24, 2005
and which is incorporated herein by reference, and which itself
claims the benefit of U.S. Provisional Patent Application No.
60/620,679 entitled "Automated Human Performance System", which was
filed Oct. 22, 2004 and of U.S. Provisional Patent Application No.
60/680,474 entitled "Mytrak System", which was filed May 13, 2005,
both of which are incorporated herein by reference. This is also a
continuation-in-part application claiming the benefit under 35 USC
120 and 35 USC 365(c) of International Application No.
PCT/CA2005/001626 entitled "System for Measuring Physical
Performance and for Providing Interactive Feedback", which was
filed Oct. 24, 2005 and which is incorporated herein by reference,
and which itself claims the benefit of U.S. Provisional Patent
Application No. 60/620,679 and of U.S. Provisional Patent
Application No. 60/680,474.
BACKGROUND
[0002] When people exercise, either at home or in a fitness club,
they usually have some goal in mind, such as getting fitter,
staying fit, increasing strength, losing weight, etc. To get the
most benefit from exercise it is important that people know exactly
what goal they have been set and how they are performing, both on
an immediate real-time basis and over time. This leaves the person
who has exercised with a number of key questions: How well have I
done? How much energy did I exert and how many calories did I burn?
Did I perform well against my target or exercise program? What was
my target? Did I do better this time, compared to last time or my
historical data? Am I improving and progressing my fitness level?
Exactly how fit am I?
[0003] The current method of establishing a person's absolute
maximum performance on any given piece of exercise equipment is to
get that person to exercise to exhaustion while measuring the
parameters of interest: heart rate, oxygen consumption, weight
lifted, etc. This data provides an individual's maximum performance
at that point in time i.e. the individual's 100% output or ability.
However this may be only 60% of the standard for that individual's
age or sex. Such standards (high, average, poor, etc) are available
for aerobic fitness (VO2max) as established on a treadmill,
bicycle, or step test and some physical performance tests.
[0004] This method, for most people, is impractical, since as you
are improving in fitness, you would be required to retake the tests
to track any change in fitness level.
[0005] Some current computer-based solutions for fitness training
are essentially electronic versions of a performance card on which
measured repetition and set data (for weight stack exercise
machines) is stored and possibly compared to a target value. The
feedback provided is minimal, and only provides information
relating to targets for sets and repetitions, not in terms of
overall health targets.
BRIEF DESCRIPTION OF THE DRAWINGS
[0006] Embodiments are illustrated by way of example and not
limitation in the figures of the accompanying drawings, in which
like reference numerals indicate corresponding, analogous or
similar elements, and in which:
[0007] FIG. 1 is a block diagram of an exemplary computerized
physical activity system;
[0008] FIG. 2 is a flowchart of an exemplary method for providing
feedback to a person who is exercising;
[0009] FIG. 3 is an illustration of an exemplary display on which
feedback is provided to the person who is exercising;
[0010] FIG. 4A is a side view of an exemplary hydraulic
cylinder;
[0011] FIG. 4B is a perspective view of an exemplary hydraulic
cylinder with a sensor assembly coupled thereto;
[0012] FIG. 5 is a flowchart of an exemplary method for determining
energy exerted by a person exercising on a hydraulic exercise
machine;
[0013] FIG. 6 is a flowchart of an exemplary method for determining
energy exerted by a person exercising on a hydraulic exercise
machine in which a first piston and a second piston are
coupled;
[0014] FIGS. 7A, 7B and 7C are illustrations of three types of
hydraulic cylinder configurations;
[0015] FIG. 8 is a flowchart of an exemplary method for determining
the energy exerted by a person while exercising on a spinning
exercise machine;
[0016] FIG. 9 is a flowchart of an exemplary method of
characterizing fitness;
[0017] FIG. 10 is a functional diagram of software modules to be
implemented in the computer and communication system of FIG. 1;
[0018] FIG. 11 is an illustration of an individual's body balance
report, or overall body summary;
[0019] FIG. 12 is an illustration of an individual's exercise
messaging report;
[0020] FIG. 13 is an illustration of an individual's workout
report;
[0021] FIG. 14 is an illustration of an individual's cardiovascular
performance report;
[0022] FIG. 15 is an illustration of an individual's strength
report; and
[0023] FIG. 16 is a flowchart of an exemplary method for providing
exercise feedback.
DETAILED DESCRIPTION
[0024] In the following detailed description, numerous specific
details are set forth in order to provide a thorough understanding
of embodiments. However it will be understood by those of ordinary
skill in the art that the embodiments may be practiced without
these specific details. In other instances, well-known methods,
procedures, components and circuits have not been described in
detail so as not to obscure the embodiments.
[0025] FIG. 1 is a block diagram of a computerized physical
activity system 100 for use with exercise machines, of which two
are shown, exercise machine 102 and exercise machine 104. Different
exercise machines may be used with system 100, including, for
example, weight stack exercise machines, hydraulic or pneumatic
exercise machines, spinning exercise machines and other cardio
machines such as treadmills, elliptical machines, stepping
machines, manual and electronic bicycles and the like. In this
description and claims, the terms "hydraulic exercise machine" and
"hydraulic cylinder" are expanded to include also "pneumatic
exercise machine" and "pneumatic cylinder", respectively. Likewise,
in the description and claims, the term "liquid" used in the
context of hydraulic exercise machines, hydraulic cylinders,
pneumatic exercise machines and pneumatic cylinders is expanded to
include also "air or other gas". System 100 comprises an exercise
machine module for each of the exercise machines, and exercise
machine module 112 for exercise machine 102 and exercise machine
module 114 for exercise machine 104 are shown.
[0026] Although system 100 is described herein as being for use
with two or more exercise machines, it will be obvious to a person
of ordinary skill in the art how to modify the system for use with
a single exercise machine.
[0027] Each exercise machine module comprises a sensing system
coupled to the exercise machine to sense mechanical variables of
activities of a person when exercising on the exercise machine.
Exercise machine module 112 comprises a sensing system 122 coupled
to exercise machine 102, and exercise machine module 114 comprises
a sensing system 124. Different sensing systems may be used for
different types and classes of exercise machines, and may involve
load cells, infrared position detectors, optical encodes,
potentiometers, magnets, pressure foil mechanisms and other
sensors. Sensing systems for use with weight-stack exercise
machines, sensing systems for use with hydraulic or pneumatic
exercise machines, and sensing systems for use with spinning
exercise machines are discussed in more detail hereinbelow. Even
within a single class of exercise machines, for example,
weight-stack exercise machines, different sensing systems may be
used for different types of exercise machines. For example, a leg
press exercise machine may have a different sensing system coupled
to it than an outer thigh exercise machine.
[0028] Although the exercise machines are described herein as being
external to system 100, with a sensing system possibly retrofitted
to an existing exercise machine, it will be obvious to a person of
ordinary skill in the art that system 100 may comprise one or more
exercise machines in which some or all of the exercise machine
module is integrated with the exercise machine.
[0029] System 100 comprises a database 130 storing information
about people who will be using the system, and a computer and
communication system coupled to database 130 and to the sensing
systems. The computer and communication system is arranged to
process mechanical properties of the exercise machines and the
mechanical variables of the activities to generate user performance
data for each of the activities, to perform an analysis of the user
performance data based, at least in part, on information stored in
database 130 for the person, to provide feedback to the person when
exercising on one of the exercise machines based on the user
performance data and/or the analysis thereof for the activity of
the person on the one of the exercise machines, and to update the
information stored in database 130 for the person based on the
analysis so that subsequent analyses of user performance data for
activities of the person are performed based, at least in part, on
the updated information. Therefore, if a person exercises on
exercise machine 102 and then on exercise machine 104, the analysis
of the person's activity on exercise machine 102 may be taken into
account when analyzing the person's activity on exercise machine
104.
[0030] In the example shown in FIG. 1, the computer and
communication system comprises a computer system 132 coupled to
database 130 and to electronic controllers 140 that are comprised
in the exercise machine modules. Computer system 132 may be a
centralized computer system or a distributed computer system. The
communication between computer system 132 and database 130 may be
wired, wireless or optical or any combination thereof and may be
conducted via a network 134. The communication between computer
system 132 and electronic controllers 140 may be wired, wireless or
optical or any combination thereof and may be conducted via a
network 136.
[0031] Electronic controller 140 comprises a processor 142 coupled
to the sensing system and is arranged to handle at least a portion
of the processing of the mechanical variables. Electronic
controller 140 also comprises a feedback unit coupled to processor
142 for providing the feedback to the person who is exercising. In
the example shown in FIG. 1, the feedback unit is a display 144,
which may comprise, for example, a screen and/or various light
emitting diode (LED) lights. Display 144 is viewable by the person
when exercising on the exercise machine and the computer and
communication system may be arranged to show on display 144 visual
feedback related to the user performance data and/or the analysis
thereof. The computer and communication system may be arranged to
show on display 144 an indication of another exercise machine to
which the person, after exercising on this exercise machine, should
proceed according to an exercise program for the person stored in
database 130. Audio feedback is also contemplated, although it is
not shown in FIG. 1.
[0032] As mentioned above, the analysis of the user performance
data performed by the computer and communication system is based,
at least in part, on information stored in database 130 for the
person. The computer and communication system therefore needs
identification of the person who is currently exercising on the
exercise machine. Once computer system 132 identifies the person,
it may retrieve the information from database 130. If the analysis
is done solely by computer system 132, there may be no need to
provide any of the retrieved information to electronic controller
140. If the analysis is done partly by computer system 132 and
partly by electronic controller 140, computer system 132 may
provide some or all of the retrieved information to electronic
controller.
[0033] Computer system 132 may identify the person without any
interaction with electronic controller 140. For example, a trainer
in an exercise facility may input to computer system 132 which
person is currently exercising on the exercise machine.
Alternatively, electronic controller 140 may comprise an
acquisition module 146 near or affixed to the exercise machine to
acquire an identifier of the person. For example, the person may
enter a personal identification number (PIN) into a user input
component (not shown). In another example, the person may have a
tag 148 storing the identifier of the person and acquisition module
146 may acquire the identifier from tag 148. For example, tag 148
may be a radio frequency identifier (RFID) tag. In another example,
tag 148 may have a microchip or a magnetic stripe and may be
inserted into an appropriate tag reader (not shown). In yet another
example, tag 148 may have a bar code and acquisition module 146 may
comprise a bar code reader (not shown). The person's identifier,
once acquired by acquisition module 146, may be provided to
computer system 132 so that all or a portion of the information
stored in database 130 for the person may be retrieved by computer
system 132 and optionally provided to electronic controller
140.
[0034] At least one of electronic controllers 140 may be able to
receive heart rate data of the person from a heart rate monitor 150
that is worn or otherwise coupled to the person when exercising on
the exercise machine. For example, heart rate monitor 150 may be
integrated into the exercise machine, as is known in the art.
Database 130 may store target heart rate zone information for the
person, and electronic controller 140 (or computer system 132) may
process the heart rate data based on the target heart rate zone
information. The feedback provided to the user may be based on the
results of this processing. For example, display 144 may show a
visual indication of a comparison of the person's heart rate and
the target heart rate zone.
[0035] The information stored in database 130 may include, for
example, historical workout results, exercise programs, human
performance physical profiles, training activity, achieved results,
dietary information and various predictive analysis and algorithms,
a person's physical performance targets or goals (or
exercise/fitness targets or goals), specific fitness/health data
for the person (e.g. the body's energy burn rate, caloric intake
data, etc.), as well as user performance data.
[0036] For example, the analysis of the user performance data may
be based, at least in part, on caloric intake information for the
person and/or on exercise targets for the person.
[0037] FIG. 2 is a flowchart of an exemplary method for providing
feedback to a person who is exercising. A sensing system senses at
202 mechanical variables of an activity of the person when
exercising on an exercise machine. The mechanical variables are
processed at 204 together with mechanical properties of the
exercise machines to generate user performance data for the
activity. Optionally, heart rate data of the person while
exercising on the exercise machine is received at 206 from a heart
rate monitor. At 208, the user performance data is analyzed based,
at least in part, on information stored in a database for the
person (and optionally on the heart rate data received at 206).
Feedback based on the user performance data and/or analysis thereof
is provided to the person at 210. The information in the database
is updated at 212 based on the analysis, so that subsequent
analyses of user performance data, whether on the same exercise
machine or on a different exercise machine, is based, at least in
part, on the updated information.
[0038] Examples of the user performance data for an activity
include one or more of the following: the force required to move
one or more physical components of the exercise machine during the
activity, the energy exerted by the person while exercising on the
exercise machine, the workout intensity, the range of motion of the
activity, the speed of one or more physical components of the
exercise machine during the activity, the distance one or more
physical components of the exercise machine have been displaced
over a period of time during the activity, and the acceleration of
one or more physical components of the exercise machine during the
activity.
[0039] The information stored in database 131 for the person may
include a target workout intensity for the activity, and the
feedback provided to the person may include an indication to
increase, sustain or decrease the workout intensity based on a
comparison of the calculated workout intensity and the target
workout intensity. For example, the feedback may be provided via a
LED light bar, which displays a first color (e.g. yellow) if the
indication is to increase the workout intensity, displays a second
color (e.g. green) if the indication is to sustain the workout
intensity, and displays a third color (e.g. red) if the indication
is to decrease the workout intensity. For example, a traffic-light
analogy may be achieved by use of the colors yellow, green and red,
as described above.
[0040] FIG. 3 illustrates an example of display 144. Display 144
comprises a LED light bar for display of user performance, or
outcome summaries. The display may include an indication of one or
more of the following parameters: prescribed workout intensity;
prescribed target heart rate; achieved heart rate; achieved workout
intensity. The feedback module can also indicate information such
as time, reps, sets, load, power, or any other piece of data that
is measured by the sensor(s), or is derivable from the measured
data. In the example shown in FIG. 3, display 144 comprises an
indicator 322 of physical performance or workout intensity, which
provides user-specific feedback on physical performance or workout
intensity based on a comparison of measured user performance and a
stored user target. A heart rate performance feedback indicator 324
can similarly provide user-specific feedback on heart rate based on
a comparison of measured heart rate data and a stored target heart
rate zone.
[0041] This LED feedback indicates to the user to increase,
decrease or sustain the current level of workout in order to reach
the desired goals. When one of the intensity, or physical
performance, indicators flashes green, this indicates that the
person has reached the target energy burn rate, or is training at
the appropriate intensity level required to achieve the desired
weight loss/gain goals. If the person were wearing a heart rate
monitor, the heart rate would be displayed on the electronic
controller.
[0042] An information display 326 can provide additional
information to the user. For example, when a heart rate measure
indicator 328 is activated, the information display can indicate an
actual measured heart rate value, such as a numeric value. When a
repetitions, or reps, indicator 330 is activated, the information
display may indicate a number of repetitions performed by the user.
When neither of those two indicators is activated, the information
display 326 may indicate to the user, at the end of a workout on
that exercise machine, to which exercise machine to proceed to next
according to the person's exercise program. The same information
display can also display a number of sets performed by the user. A
range of motion indicator 332 indicates a range of motion value
based on measured user performance. As shown in FIG. 3, range of
motion indicator 322 can be implemented as a progressive indicator,
showing a portion or percentage of range of motion achieved.
Alternatively, the range of motion could be displayed as a
numerical percentage in the information display 326.
[0043] Weight-Stack Exercise Machine
[0044] A weight-stack exercise machine comprises a stack of weights
that is lifted as the person exercising on the exercise machine
moves one or more physical components of the exercise machine. The
sensing system may comprise one or more load cells coupled to the
portion of the stack that is lifted, and/or may comprise one or
more load cells coupled to the portion of the stack that remains
when one or more of the weights are lifted. Alternatively, or
additionally, the sensing system may comprise one or more sensors
to sense which weights have been lifted. The sensing system may
comprise one or more sensors to sense a distance that the weights
have been displaced (e.g. a counter to count rotations of a wheel
over which a cable attached to the weights moves), or to sense a
velocity or an acceleration of the weights or other physical
component of the exercise machine. From this sensed information,
the computer and communication system may determine the user
performance data as described hereinabove.
[0045] Hydraulic Exercise Machine
[0046] A hydraulic exercise machine is any exercise machine that
uses one or more hydraulic cylinders for resistance. Some examples
of hydraulic exercise machines include rowing machines, steppers,
and other machines. A hydraulic exercise machine uses an isokinetic
form of resistance; the harder you push, the more resistance the
hydraulic piston gives you. One of the ideas behind hydraulic
training is to push as hard as you can and train as hard as you
can, then the machine will resist you proportionately based on your
exertion. However, while the person is pushing as hard as she can,
the person is not aware of how much energy she is exerting, and
whether the energy exerted is enough or too much with respect to a
desired training program.
[0047] A hydraulic exercise machine system comprises one or more
hydraulic cylinders, a mechanism coupled to at least one of the
hydraulic cylinders and a sensor assembly. Displacement of the
mechanism by a person exercising on the hydraulic exercise machine
displaces pistons of the hydraulic cylinders relative to the
cylinders, either by causing the pistons to move or by causing the
cylinders to move. The sensor assembly senses the relative
displacement of a piston relative to its cylinder over time. The
hydraulic exercise machine system may further comprise electronic
means for analyzing data from the sensor assembly, for example,
electronic controller 140 or portions thereof. The hydraulic
exercise machine system may comprise a display, for example,
display 144, to provide visual feedback to the person based, at
least in part, on the analyzed data.
[0048] FIG. 4A is a side view of an exemplary hydraulic cylinder
400. A piston 402 is able to be displaced relative to a cylinder
404 along an axis 406. Liquid or gas is trapped in cylinder 404 by
piston 402. An attachment 408 to piston 402 may be coupled to a
mechanism that can be displaced by a person exercising on the
hydraulic exercise machine.
[0049] FIG. 4B is a perspective view of hydraulic cylinder 400 with
a sensor assembly coupled thereto to sense displacement of piston
402 relative to cylinder 404 over time. Infrared, visible light or
other radiation emitted from a source 410 is reflected by a
reflector 412 and the reflected radiation is detected by a
radiation detector 414. As piston 402 and cylinder 404 are
displaced relative to each other over time, the distance between
source 410 and reflector 412 varies, and the distance between
reflector 412 and detector 414 varies. Although the sensor assembly
(comprising source 410, reflector 412 and detector 414) is shown in
FIG. 4B external to cylinder 404, a similar assembly could be
implemented internal to cylinder 404.
[0050] FIG. 5 is a flowchart of an exemplary method for determining
energy exerted by a person exercising on a hydraulic exercise
machine. A sensing system or sensor assembly senses at 502
displacement over time of a piston of the hydraulic exercise
machine relative to its cylinder due to displacement by the person
of a mechanism coupled to the hydraulic cylinder. A stroke of the
piston is calculated at 504 from the sensed displacement and
parameters of the hydraulic cylinder. The energy exerted by the
person while displacing the mechanism is determined at 506 based,
at least in part, on the calculated stroke and properties of the
hydraulic cylinder.
[0051] FIG. 6 is a flowchart of an exemplary method for determining
energy exerted by a person exercising on a hydraulic exercise
machine in which a first piston and a second piston are coupled. A
sensing system or sensor assembly senses at 602 displacement over
time of the first piston of the hydraulic exercise machine relative
to its cylinder due to displacement by the person of a mechanism
coupled to the hydraulic cylinder. A stroke of the first piston is
calculated at 604 from the sensed displacement and parameters of
the first piston's hydraulic cylinder. A stroke of the second
piston is calculated at 606 from the sensed displacement and
parameters of the second piston's hydraulic cylinder. The energy
exerted by the person while displacing the mechanism is determined
at 608 based, at least in part, on the calculated strokes and
properties of the hydraulic cylinders.
[0052] The parameters and properties of the hydraulic cylinders
used to calculate the strokes and determine the energy exerted
comprise one or more of the following: viscosity of a liquid or gas
used in the hydraulic cylinder, a size of an orifice of the piston,
and force required to move the liquid or gas through the
orifice.
[0053] Each cylinder has a particular characteristic that relates
piston velocity to the force required to move the piston relative
to the cylinder. This can be measured on a dynamometer and
approximated to a polynomial equation of the form: F=av.sup.2+bv+c
where F is the force and v is the velocity. Over the low velocity
range that the cylinder is used, with a maximum of approximately 10
mm/sec, this can be approximated to a straight line, therefore the
equation becomes: F=fv where f is the force factor for a particular
cylinder direction and setting. For example, if the velocity is in
units of millimeters per second, and the force is in units of
Newtons (N), the force factor has units of N/mm. If the cylinder is
configured where the force is different in the forward and reverse
directions, two force factors are required.
[0054] In addition, each piston may have multiple settings through
the adjustment of a bleed valve. Each of these bleed valve or
"hardness" settings corresponds to a different force factor
value.
[0055] The energy E required to displace a piston relative to its
cylinder over a distance d in time t is given by the following
equation: E=F d=f(d.sup.2/t) Exercise machines with hydraulic
cylinders fall into a number of different categories based on how
the cylinders are configured. Categorizing the machine in this way
enables one equation to be used for the energy calculations. FIGS.
7A-7C illustrate three types of hydraulic cylinder
configurations.
[0056] The forward and reverse force factors for the machines can
be calculated as follows: [0057] Type 1: Single cylinder machine
(shown in FIG. 7A) f.sub.FWD=CYL.sub.FWD f.sub.REV=CYL.sub.REV
[0058] Type 2: Dual cylinder machine with cylinders working in the
same direction (shown in FIG. 7B)
f.sub.FWD=CYL1.sub.FWD+CYL2.sub.FWD
f.sub.REV=CYL1.sub.REV+CYL2.sub.REV [0059] Type 3: Dual cylinder
machine with opposing motion (shown in FIG. 7C)
f.sub.FWD=CYL1.sub.FWD+CYL2.sub.REV
f.sub.REV=CYL1.sub.REV+CYL2.sub.FWD
[0060] Therefore, the mechanical properties of the exercise
machines that are processed with the sensed mechanical variables
may include information relating to the category of the hydraulic
exercise machines, the forward and reverse force factors at one or
more valve settings, and the like.
[0061] Likewise, the distance measuring device has specific
characteristics and may be non-linear. Some devices may not measure
from zero, so the stroke minimum and stroke maximum may also be
included in the mechanical properties of the exercise machines that
are processed.
[0062] Spinning Exercise Machine
[0063] Spinning exercise machines are intended more for
cardiovascular conditioning than strength. Exercise is performed on
one piece of equipment for a considerably longer time than on a
weight stack exercise machine or a hydraulic exercise machine. A
typical spinning workout may last 20 to 45 minutes. Typical example
workouts are as follows: TABLE-US-00001 Workout Bike Bike Time
Cardio Zone Speed Resistance Level (min) (% maximum heart rate)
(rpm) (max 20) Beginner 20 55 to 65 40 to 60 3 to 6 Intermediate 30
65 to 75 60 to 80 7 to 12 Weight Loss 20 to 30 55 to 65 40 to 50 1
to 4
[0064] Any particular workout may involve changes in speed and/or
resistance at different times in the workout. For example, a
workout may begin and end with lower speeds and lower resistance
for warm up and cool down, and may involve higher speeds and higher
resistance in the middle. In another example, a workout may
alternate periods of low resistance with periods of high
resistance.
[0065] A spinning exercise machine has a flywheel that rotates as
the person exercising on the spinning exercise machine pedals. The
spinning exercise machine has various resistance settings, which
may be adjusted by the person.
[0066] FIG. 8 is a flowchart of an exemplary method for determining
the energy exerted by a person while exercising on a spinning
exercise machine. At 802, the rotations of the flywheel due to
activity of the person are counted. For example, counting the
rotations may be accomplished by using an optical position sensor
to measure changes in the rotation of the flywheel. In another
example, counting the rotations may be applied by using a magnet
applied to the flywheel and a Hall-effect sensor applied to a
stationary element of the spinning exercise machine. Alternatively,
the Hall-effect sensor may be applied to the flywheel and the
magnet to a stationary element of the spinning exercise
machine.
[0067] At 804, a resistance setting of the spinning exercise
machine is determined. The resistance setting may be assumed (for
example, if the person is following an exercise program that
indicates that the resistance should be set to a particular
setting) or may be sensed. Some spinning exercise machines use a
friction pad that is spring loaded against the flywheel as the
means to adjust the resistance. The resistance setting may be
determined by sensing the pressure on the friction pad, for
example, by using a pressure foil mechanism mounted between a
plastic portion of the friction pad and a felt portion of the
friction pad, which measures the pressure on the surface area of
the friction pad.
[0068] At 806, the energy exerted by the person may be determined
from the resistance setting and the count of rotations. The count
of rotations, flywheel parameters and the time over which the count
was taken may be used to calculate an equivalent distance traveled
if the person was on a road bike.
[0069] Spinning is an exercise often done in classes. While the
computerized physical activity system and method described in
general hereinabove with respect to FIGS. 1-3 may be used with
spinning exercise machines, a simplified version of the system may
be used in spinning classes. For example, a computerized spinning
exercise system may comprise spinning exercise machines, a sensing
system coupled to each spinning exercise machine to count rotations
of the flywheel, and a computer and communication system coupled to
the sensing systems to process for each spinning exercise machine
the count of rotations, the resistance setting and mechanical
properties of the spinning exercise machines (e.g. size of
flywheel) to generate user performance data for the activity on the
spinning exercise machine. The user performance data may include,
for example, one or more of the following: the speed of the
flywheel during the activity, the distance "traveled" during the
activity, and the energy exerted by the person while exercising on
the spinning exercise machine. As described hereinabove with
respect to FIG. 8, the resistance setting may be assumed or
sensed.
[0070] The computer and communication system may be arranged to
display to a trainer of the spinning class visual feedback related
to the user performance data for the people in the class. This will
enable the trainer to see the results in real time. For example,
the feedback may be displayed on the wall with a projector. This
would allow the trainer to focus on individual performance and
generate a competitive atmosphere. Audio feedback is also
contemplated.
[0071] If the system includes access to a database storing
information about the people using the computerized spinning
exercise system, then analysis of the user performance data may be
performed based, at least in part, on the information. The feedback
may be related to the analysis of the user performance data.
[0072] Characterizing Fitness
[0073] People who exercise may want to know how fit they are and to
what extent their performance while exercising contributes to their
overall fitness in view of fitness goals. The systems and methods
described hereinabove involve determining the energy exerted by a
person while exercising on an exercise machine, which is key to
characterizing the person's fitness.
[0074] FIG. 9 is a flowchart of an exemplary method of
characterizing fitness. This method may be implemented by the
computer and communication system of system 100. At 902, the energy
exerted by a person while exercising on a first exercise machine is
determined.
[0075] Since the first exercise machine impacts one or more muscles
and/or muscle groups of the musculoskeletal system of the person,
characterizations of the fitness of the one or more muscles and/or
muscle groups are determined at 906 based, at least in part, on the
energy exerted. For example, a particular exercise machine may
impact the back muscles, trapezoid muscles, shoulder muscles,
biceps and triceps of the person. A percentage or ratio may be
assigned to each impacted muscle or muscle group, as part of the
characterization of the exercise machine. The characterization of a
particular muscle or muscle group will then be based, at least in
part, on the percentage of the energy exerted that corresponds to
the particular muscle or muscle group.
[0076] Determining the characterizations of the fitness of the one
or more muscles and/or muscle groups is based, at least in part, on
a characterization of the maximum energy that would be required to
operate the first exercise machine at full capacity for a given
period of time. This maximum energy may be referred to as the
"machine maximum energy value". This characterization is shown in
FIG. 9 at 904, but will likely be done once per exercise machine or
type of exercise machine and need not be repeated each time a
person exercises on the exercise machine.
[0077] An exercise machine may have inherent inefficiencies, such
that some of the energy exerted by the person is "wasted".
Alternatively an exercise machine may have inherent advantages
(e.g. due to the use of levers and/or pulleys), such that the
effect of the activity by the person is enhanced or amplified. The
energy exerted by the person, as determined at 902, may be
proportional to a machine constant that takes into account
inefficiencies and/or mechanical advantages inherent to the first
exercise machine.
[0078] The characterizations of fitness of the one or more muscles
and/or muscle groups may optionally be compared at 908 to one or
more corresponding fitness targets for the one or more muscles
and/or muscle groups. The fitness targets may be part of the
information stored in the database about the person. Feedback may
be provided at 910 to the person of how well the person is
achieving one or more of the fitness targets. The feedback may be
provided while the person is exercising on the first exercise
machine and/or at a later time. Alternatively, or in addition, one
or more of the fitness targets may be automatically adjusted at 910
based on the comparison. For example, if a person has achieved a
fitness target for a particular muscle and/or muscle group, that
fitness target and/or the fitness target for the opposing muscle or
muscle group may be automatically adjusted to assist the person in
achieving the overall goals.
[0079] A person is likely to exercise on more than one exercise
machine, possibly in the same workout or alternatively, in
different workouts. At 912, the energy exerted by a person while
exercising on a second exercise machine is determined.
[0080] The second exercise machine may be the same as the first
exercise machine, or may be a different exercise machine. For
example, the first exercise machine may be a chest press hydraulic
exercise machine, and the second exercise machine may be a
bicep/tricep hydraulic exercise machine. The second exercise
machine may even be of a different class than the first exercise
machine. For example, the first exercise machine may be a leg press
hydraulic exercise machine and the second exercise machine may be
lat pulldown weight stack machine.
[0081] Characterizations of the fitness of the one or more muscles
and/or muscle groups impacted by the second exercise machine are
determined at 916 based, at least in part, on the energy exerted
while exercising on the second exercise machine. For those muscles
and/or muscle groups for which previous characterizations of
fitness have been determined, the characterization is updated at
916 based, at least in part, on the energy exerted while exercising
on the second exercise machine.
[0082] As before, determining the characterizations of the fitness
of the one or more muscles and/or muscle groups at 916 is based, at
least in part, on a characterization of the maximum energy that
would be required to operate the second exercise machine at full
capacity for a given period of time. This characterization is shown
in FIG. 9 at 914, but will likely be done once per exercise machine
or type of exercise machine and need not be repeated each time a
person exercises on the exercise machine.
[0083] As before, the energy exerted by the person, as determined
at 912, may be proportional to a machine constant that takes into
account inefficiencies and/or mechanical advantages inherent to the
second exercise machine.
[0084] The characterizations of fitness of the one or more muscles
and/or muscle groups determined at 916 may be compared at 918 to
one or more corresponding fitness targets for the one or more
muscles and/or muscle groups. Feedback may be provided at 920 to
the person of how well the person is achieving one or more of the
fitness targets. The feedback may be provided while the person is
exercising on the second exercise machine and/or at a later time.
Alternatively, or in addition, one or more of the fitness targets
may be automatically adjusted at 920 based on the comparison.
[0085] As the person exercises a third time, a fourth time, and so
on, steps similar to 912 and 916 are repeated as needed, with the
cumulative effect that the characterization of a particular muscle
or muscle group is determined based, at least in part, on the
energy exerted by the person on different occasions on one or more
exercise machines that impact that particular muscle or muscle
group.
[0086] A characterization of the fitness of the person as a whole
may be determined at 922 based, at least in part, on the
characterizations of the fitness of the one or more muscles or
muscle groups. The characterization of the fitness of the person as
a whole may be based, at least in part, on a characterization of a
target fitness level. The target fitness level may be determined
from the fitness targets for the various muscles and muscle
groups.
[0087] The target fitness level may be related to a rehabilitation
goal, and this method may be used for one or more of the following
purposes: [0088] a) to track the physical function and improvements
of people in therapy; [0089] b) to match the physical function of
people in rehabilitation to identify readiness to return to work;
[0090] c) to evaluate the effectiveness of therapy based on injury
type and physical disability, impairment; [0091] d) (by insurance
companies) to establish the degree of functional loss resulting
from injury in an objective, quantitative manner
[0092] The target fitness level may be related to suitability to
perform a particular task or job. For example, in the case of the
job of lifting a box, the total job energy required can be
calculated based on a measured weight of the box, the height that
the box must be lifted, and any other value. Based on a knowledge
of the muscles required to perform the job, a job profile can be
generated based on a proportionate distribution of the total job
energy. In another example, this method may be used in a sport
context to match sports players to pre-defined ideal profiles based
on played position and actual sport, and/or to determine and track
individual muscle behaviors prior to the onset of physical injury.
In yet another example, this method may be used in a work context
for one or more of the following purposes: [0093] a) to match
employees to jobs they are expected to perform at work; [0094] b)
to objectively identify injury probability based on collected data
from various workouts by comparing observed performance to job
profiles; [0095] c) to modify, or identify potential modifications
to, the ergonomics or physical demands of a job to closer match the
physical function of an individual performing that job; [0096] d)
to condition, or identify potential training or conditioning
programs for, the individual to better match the required physical
demands of the job.
[0097] The characterization of the fitness of the person as a whole
may be based, at least in part, on information related to
nutritional intake of the person (which may be stored in the
database). The characterization of the fitness of the person as a
whole may be based, at least in part, on heart rate information for
the person (gathered from a heart rate monitor, for example).
[0098] Physical Performance Index (PI)
[0099] The characterizations of fitness described hereinabove, the
corresponding fitness targets, and the machine maximum energy
values may be values on a common numerical scale, referred to
herein as "Performance Index" (PI). By using a single scale, PI can
be applied to any form of exercise, from aerobics to gym equipment
and specialist training. PI is based on the energy a person exerts
while exercising. Because different exercises and exercise machines
will exercise the body in different ways and use different amounts
of energy, using PI as the standard enables comparisons between the
different exercises and exercise machines.
[0100] As described hereinabove, the information stored in database
131 for the person may include a target workout intensity and
feedback provided to the person while exercising may include an
indication to increase, sustain or decrease the workout intensity
based on a comparison of the calculated workout intensity and the
target workout intensity. The calculated workout intensity and the
target workout intensity may both be PI values. Indeed, the target
workout intensity may be a single target workout intensity for a
single activity on a particular exercise machine, or may be applied
to different activities on different exercise machines.
[0101] The numerical scale may be a linear scale from 0 to 1000,
but other scales, including non-linear numerical scales, are also
contemplated.
[0102] PI values figure prominently in feedback provided via a
reports module which is described in more detail hereinbelow.
[0103] Software/Hardware Implementation
[0104] As will be understood by those of skill in the art, the
methods described herein, or portions thereof, can generally be
embodied as software residing on a general purpose, or other
suitable, computer. The software can be provided on any suitable
computer-readable medium. Such computer-readable media can be any
available media that can be accessed by a general-purpose or
special-purpose computer. By way of example, and not limitation,
such computer-readable media may comprise physical
computer-readable media such as RAM, ROM, EEPROM, flash memory or
other memory technology, CD-ROM, DVD or other optical disk storage,
magnetic disk storage or other magnetic storage devices, or any
other medium which can be used to carry or stored desired program
code means in the form of computer-executable instructions or data
structures and which can be accessed by a general-purpose or
special purpose computer.
[0105] When information is transferred or provided over a network
or another communications connection (hardwired, wireless, optical
or any combination thereof) to a computer system, the computer
system properly views the connection as a computer-readable medium.
Thus, any such connection is properly termed a computer-readable
medium. Combinations of the above should also be included within
the scope of computer-readable media. Computer-executable
instructions comprise, for example, any instructions and data which
cause a general-purpose computer system, special-purpose computer
system, or special-purpose processing device to perform a certain
function or group of functions. The computer-executable
instructions may be, for example, binaries, intermediate format
instructions such as assembly language, or even source code.
[0106] FIG. 10 is a functional diagram of software modules to be
implemented in the computer and communication system of FIG. 1, for
example, in computer system 132.
[0107] A measured user performance module 1002 is arranged to
compare characterizations of the fitness of one or more muscles
and/or muscle groups to one or more corresponding fitness targets
for the one or more muscles and/or muscle groups.
[0108] An automatic goal update module 1004 is coupled to measured
user performance module and is arranged to adjust one or more of
the fitness targets based on the comparisons, as described in more
detail hereinabove.
[0109] A fatigue and variance module 1006 having access to the data
generated by measured user performance module 1002 calculates
fatigue and consistency of motion. While this module is shown as a
single module, the two functions could be implemented separately.
The calculations of fatigue and variance, which is a measure of
consistency, are described in more detail hereinbelow. Exercise
programs may be dynamically modified by automatic goal update
module based on calculated fatigue and/or variance.
[0110] A reports module 1008 is coupled to modules 1002, 1004, and
1006 and is arranged to provide comprehensive feedback about
workouts, fitness and the like. FIGS. 11-15 are illustrations of
various reports produced by reports module 1008.
[0111] FIG. 11 is an illustration of an individual's body balance
report, or overall body summary. The body balance summary looks at
the overall energy that was exerted from all the various workouts
and matches that to the muscle groups based on the machines that
were used. An overall summary of the muscles is provided based on
whether the user was in the red, yellow or green zones during the
exercise. This reporting result covers all cumulative information
for all exercises, and provides an overall indication of how the
user has been doing, such as for the last 30 days.
[0112] A female/male figure is labelled with muscle group exercise
indicators 1102 showing the major muscle groups used during a
user's workout. The muscle group indicators indicate relative
levels of fitness of the various muscle groups in the person's
body. The indicator may indicate a fitness level of the muscle
group relative to a target fitness level for the muscle group, or
may indicate a fitness level of the muscle group relative to an
opposing muscle group, or may indicate a fitness level of the
muscle group relative to other muscle groups. For example, each
muscle group exercise indicator 1102 may provide an indication of a
user-specific muscle-specific workout intensity, such as by
displaying different colors. A green color on the muscle group
indicates the user have worked that muscle sufficiently to meet the
target value, or PI value, and will gain maximum health/fitness
benefits from that exercise. A yellow color indicates the muscles
were not sufficiently exercised to receive maximum health/fitness
benefits. A red color indicates this muscle group was not exercised
and will receive no health/fitness benefits from that workout. The
female/male figure indicates where deficiencies and muscle
imbalances are occurring in workouts. It is easy to focus on the
muscle groups that we enjoy working out the most or that give us
the best training adaptation but the body balance chart should
redirect our attention to real work that needs to be done. Muscular
strength imbalances can set you up for injuries or poor
performance. The user can use this chart to consistently keep on
track.
[0113] The system also includes a weight graph or line 1104 that
allows the system to modify the body type and shape based on the
user's Body Mass Index, body weight, body type and actual
measurements of individual body parts. This provides an indication
of how the body can change when the user gains and loses weight,
and gives a quick illustration of what the user will look like. The
body summary is also provided as a percentage of the target human
performance as well as with a zone indication 1106, such as a
color. The percentage is an efficiency percentage based on the
target for that user. The green zone can be defined by percentages
of about 66% to about 100% or greater.
[0114] FIG. 12 is an illustration of an individual's exercise
messaging report. Messages, or flags, are used to provide further
information on an area requiring improvement, such as what is being
done wrong or what can be improved. The user-specific exercise
messaging report can also be referred to as a flags summary, with a
flag representing a message or alert. The report screen as shown in
FIG. 12 can include a message listing area where basic (or header)
data is displayed reporting all messages for that user, and a
message display area, where text of a selected message can be
viewed, and message handling options are made available. From the
flag summary, the user can see all of the indications, or flags,
that the system has generated for the user. This can include
whether the user is training too hard, too soft, or not fast
enough. The system identifies the problem areas and may send a text
message to the user identifying the problem areas. The flags are
sent to the user's profile at a kiosk, and can alternatively be
sent via email, text message or other messaging system so that the
user an access the message from home, from the office, etc. The
user can acknowledge and delete a message. The user can
alternatively indicate that assistance is needed, in which case the
message will be forwarded to a personal trainer. In this way, the
My Flags section is a communication module between the system of
the present invention, the user and the personal trainer.
[0115] The table below provides some exemplary flag types, and
possible messages or recommendations to accompany the flag, or
indication. TABLE-US-00002 Flag Type Possible
Message/Recommendation Red - if active Increase rate of muscular
contraction heart rate is low Move quickly from one station to the
next to avoid HR to drop below training zone Make sure full range
of motion is performed on each exercise Red - if active Slow down
rate of muscular contraction heart rate is high Slightly decrease
range of motion if already at full range Work at lower % of HR
training zone Yellow - Plateau Vary the order of machines used work
at higher % of HR training zone Increase frequency of workouts
Check status reports on all monitored variables See staff for
variations on workout Yellow - Inconsistent re-evaluate goals of
workout Check status reports on all monitored variables Have staff
evaluate workout based on monitored variables General - Sporadic
Workout regularly attendance Try to adhere to a day-on/day-off
schedule Workout at least three times per week General - Heart Slow
down rate of muscular contraction rate high Decrease your intensity
at each cardio station General - Heart Increase rate of muscular
contraction rate low Move quickly from one station to the next
avoiding HR to drop below training zone Increase your intensity at
each cardio station General - poor Increase the intensity of your
workouts gains (low Add one more workout throughout the week
measured Increase the length of your workout progression index) Try
to "Go for Green" during your workout Birthday "Happy birthday to
you, happy birthday to you, Happy workout with MyTrak, and great
PI's too!" Best wishes from the staff. Membership expiry Green No
message needed. Note: Green flag indicates positive progress and a
need to increase workout intensity. This condition is met when the
entire load is performed in the entire range of motion for all
reps
[0116] FIG. 13 is an illustration of an individual's workout
report. This report provides a real, full summary of the workout by
date. The user can observe results, trends, and compare these with
the goals that were set for each day.
[0117] The user is assigned a scale and the intention is to
progressively increase the scale over time. The system sets the
scale to be a numeric value, measures the person's workout and
provides a number for the target and the workout result. If the
system determines that the user was not able to achieve the goal
that was set, the goal is automatically and dynamically decreased
for the next workout, to make it less challenging for the user. The
system will continually reduce the target if the user repeatedly
cannot achieve the target that is set. The system monitors the
user's performance and increases or decreases the target based on
the results. The user can also manually change the target
performance index goal. An overall scale is provided based on the
average of the user's performance and the average of the PIs
overall.
[0118] By selecting a particular day's workout, the user can access
information regarding specific workouts on specific machines. The
machine-specific information shows the measured performance and the
target performance for each of the machines. The system includes
the ability to change the weight and number of reps in the profile,
providing the user with full control over those features and
parameters.
[0119] FIG. 14 is an illustration of an individual's cardiovascular
performance report, based on information that was collected by a
heart rate monitor. The heart rate monitor measures the heart rate
and the system tracks the amount of time that the heart rate was
below the desired target zone, within the desired target zone, and
above the desired target zone. For each day, there should be red,
yellow and green portions in the graph, such as a cylinder, and
ideally a larger proportion of the time is spent within the desired
target zone. The system calculates a target heart rate zone with a
lower limit and upper limit based on measured heart rate and age.
The system also provides indications of the desired heart rate
level for different types of exercise.
[0120] FIG. 15 is an illustration of an individual's strength
report, showing an indication of the total energy expended by the
user. This report provides information relating to each muscle
group, rather than relating the results to each machine. The system
can consolidate the exercise from each of the machines into
different muscle groups based on stored information relating to the
muscle groups being exercised by each machine. The user can observe
the overall muscle performance for different muscle groups, such as
triceps, biceps, thighs, hamstring, back, etc. The module also can
provide a visual indication, such as a pie chart, that shows each
of the muscle groups and the proportion of exertion. By clicking on
a particular muscle group, the user can observe by date the energy
expended on that particular muscle group. This provides a useful
overall, global snapshot of performance.
[0121] Fatigue and Variance/Consistency
[0122] When exercising, a person typically experiences fatigue. In
a normal healthy individual training at the full intensity, a
strength loss rate of about 10% is expected. A coefficient of
variance is a measure of consistency. If energy is increasing or
decreasing but consistency is lacking, the person is not trying
their best. The fatigue and variance module looks at the
relationship between consistency and fatigue, with ideal values
being a fatigue of about 10% and a consistency variation of about
0%.
[0123] FIG. 16 is a flowchart of an exemplary method for providing
exercise feedback. Consistency of motion over a period of time
while a person is exercising on an exercise machine that impacts
one or more muscles and/or muscle groups of the musculoskeletal
system is monitored at 1602. Monitoring the consistency of motion
may comprise collecting data relating to each individual stroke of
the motion. Each stroke in an exercise (or individual exercise
movement) can be summarized, with its distance, position, range of
motion, energy, fatigue, heart rate, and performance. Monitoring
the consistency of motion may comprise considering an actual range
of motion relative to an individual range of motion for the person
on the exercise machine. For example, the person may be capable of
a wider range of motion than the person is actually achieving in
this exercise session.
[0124] A measure of fatigue of the one or more muscles and/or
muscle groups impacted by the exercise machine is calculated at
1604, either prior to, after or substantially concurrently with the
monitoring of consistency of motion.
[0125] An evaluation of the exercise session is provided to the
person at 1606 based, at least in part, on the measure of fatigue
and the monitored consistency. Changes to an exercise plan of the
person may be proposed at 1608 based on the evaluation.
[0126] For example, the evaluation may be that the person is not
making a sufficient effort, or that the person is making a
sufficient effort.
[0127] Although the subject matter has been described in language
specific to structural features and/or methodological acts, it is
to be understood that the subject matter defined in the appended
claims is not necessarily limited to the specific features or acts
described above. Rather, the specific features and acts described
above are disclosed as example forms of implementing the
claims.
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