U.S. patent application number 14/840755 was filed with the patent office on 2016-06-30 for system and method for gathering and analyzing objective motion data.
The applicant listed for this patent is HOME BOX OFFICE, INC.. Invention is credited to Jamyn EDIS, Zachary EVELAND, Michael GABRIEL, Thomas IGOE, Timothy MOHN, Despina PAPADOPOULOUS.
Application Number | 20160184713 14/840755 |
Document ID | / |
Family ID | 42231687 |
Filed Date | 2016-06-30 |
United States Patent
Application |
20160184713 |
Kind Code |
A1 |
MOHN; Timothy ; et
al. |
June 30, 2016 |
SYSTEM AND METHOD FOR GATHERING AND ANALYZING OBJECTIVE MOTION
DATA
Abstract
The systems and methods described herein attempt to provide data
capture and analysis in a non-intrusive fashion. The captured data
can be analyzed for qualitative conclusions regarding an object's
actions. For example, a system for analyzing activity of an athlete
to permit qualitative assessments of that activity comprises a
first processor to receive activity-related data from sensors on
the athlete. A first database stores the activity-related data. A
second database contains pre-identified motion rules. A second
processor compares the received activity-related data to the
pre-identified motion rules, wherein the second processor
identifies a pre-identified motion from the pre-identified motion
rules that corresponds to the received activity-related data. A
memory stores the identified pre-selected motion.
Inventors: |
MOHN; Timothy; (Los Angeles,
CA) ; GABRIEL; Michael; (Old Greenwich, CT) ;
EDIS; Jamyn; (New York, NY) ; IGOE; Thomas;
(New York, NY) ; PAPADOPOULOUS; Despina; (New
York, NY) ; EVELAND; Zachary; (Brooklyn, NY) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
HOME BOX OFFICE, INC. |
New York |
NY |
US |
|
|
Family ID: |
42231687 |
Appl. No.: |
14/840755 |
Filed: |
August 31, 2015 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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14134092 |
Dec 19, 2013 |
9120014 |
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14840755 |
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12502726 |
Jul 14, 2009 |
8622795 |
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14134092 |
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61119915 |
Dec 4, 2008 |
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Current U.S.
Class: |
463/8 |
Current CPC
Class: |
A63B 24/0006 20130101;
A63B 2220/806 20130101; A63B 2220/51 20130101; A63F 13/211
20140902; A63B 2243/0025 20130101; A63B 71/145 20130101; A63B
2243/007 20130101; G06F 19/3481 20130101; A63B 71/10 20130101; A63B
2244/102 20130101; G16H 20/30 20180101; A63B 2220/13 20130101; A63F
13/06 20130101; A63B 2024/0012 20130101; A63B 2071/0636 20130101;
A63B 2230/50 20130101; A63F 13/816 20140902; A63B 2225/50 20130101;
A63B 2220/803 20130101; A63B 2225/20 20130101; A63B 2220/40
20130101; A63B 2220/53 20130101; A63B 69/20 20130101 |
International
Class: |
A63F 13/816 20060101
A63F013/816; A63F 13/211 20060101 A63F013/211 |
Claims
1. A computer-implemented method for analyzing activity of a boxer
to permit assessments of that activity using a processor, the
method comprising: receiving, by the processor, a stream of
continuous activity-related data transmitted from a dual-axis
accelerometer on the boxer, wherein the activity-related data
includes acceleration data along each of the two axes representing
a motion of the boxer; identifying, by the processor, a punch event
within the stream of continuous activity-related data; analyzing,
by the processor, the received activity-related data along both
axes to determine whether the motion of the boxer represented by
the activity-related data along both axes exceeds a threshold
value; when the received activity-related data exceeds the
threshold value, identifying, by the processor, the
activity-related data as the punch event; storing, by the
processor, the activity-related data of the punch event in a
database; determining, by the processor, a time of impact of the
punch event; extracting, by the processor, activity-related data
before the punch event, including activity-related data below the
threshold value; determining, by the processor, a starting time of
the punch event; calculating, by the processor, a speed of the
punch event based upon an integral of the acceleration data from
the starting time of the punch event to the time of impact for the
punch event; generating, by the processor, a motion profile of the
punch event; and displaying the calculated speed of the punch
event.
2. A computer program product comprising: a non-transitory computer
usable medium having computer readable program code embodied
therein for analyzing hand activity of a boxer having an
accelerometer disposed on a hand of the boxer, the computer
readable program code in the computer program product comprising:
computer-readable program code for receiving a stream of continuous
activity-related data transmitted from a dual-axis accelerometer on
the boxer, wherein the activity-related data includes acceleration
data along each of the two axes representing a motion of the boxer;
computer-readable program code for identifying a punch event within
the stream of continuous activity-related data; computer-readable
program code for analyzing the received activity-related data along
both axes to determine whether the motion of the boxer represented
by the activity-related data along both axes exceeds a threshold
value; computer-readable program code for when the received
activity-related data exceeds the threshold value, identifying the
activity-related data as the punch event; computer-readable program
code for storing the activity-related data of the punch event in a
database; computer-readable program code for determining a time of
impact of the punch event; computer-readable program code for
extracting activity-related data before the punch event, including
activity-related data below the threshold value; computer-readable
program code for determining a starting time of the punch event;
computer-readable program code for calculating a speed of the punch
event based upon an integral of the acceleration data from the
starting time of the punch event to the time of impact for the
punch event; computer-readable program code for generating a motion
profile of the punch event; and computer-readable program code for
displaying the calculated speed of the punch event.
3. A computer-implemented method comprising: receiving, by a
computer from an accelerometer, a stream of continuous
activity-related data transmitted from the accelerometer on a
boxer, wherein the activity-related data includes acceleration data
representing the motion of the boxer; identifying, by the computer,
a punch event within the stream of continuous activity-related
data; determining, by the computer, a type of punch in the punch
event by comparing the activity related data to a motion profile;
determining, by the computer, a time of impact of the punch event;
calculating, by the computer, a speed of the punch event based upon
an integral of the acceleration data from the starting time of the
punch event to the time of impact of the punch event; calculating,
by the processor, a force of the punch event based upon the
acceleration data of the punch event; and displaying, by the
computer, the type of punch, the speed and the force of the punch
event.
4. The method of claim 3, wherein the accelerometer is placed on
the wrist of the boxer.
5. The method of claim 3, wherein the accelerometer is inserted
into a pocket of the glove on the boxer.
6. The method of claim 3, further calculating based on the
accelerometer data: punch counts, speed of the punch, force of the
punch, and type of punch.
7. The method of claim 6, wherein type of punch comprises one or
more of: a jab, a straight, a hook, and an uppercut.
8. The method of claim 3, further comprising: based on analysis of
the boxer, providing options to chat or purchase merchandise.
9. The method of claim 3, further determining faults of the boxer's
movement based on the activity related data.
10. The method of claim 3, further calculating a comparison between
the boxer's form and a professional boxer's form.
11. A system comprising: one or more computer processors; a memory
containing a program which, when executed by the one or more
computer processors, is configured to perform an operation
comprising: receiving, by a computer from an accelerometer, a
stream of continuous activity-related data transmitted from the
accelerometer on a boxer, wherein the activity-related data
includes acceleration data representing the motion of the boxer;
identifying, by the computer, a punch event within the stream of
continuous activity-related data; determining, by the computer, a
type of punch in the punch event by comparing the activity related
data to a motion profile; determining, by the computer, a time of
impact of the punch event; calculating, by the computer, a speed of
the punch event based upon an integral of the acceleration data
from the starting time of the punch event to the time of impact of
the punch event; calculating, by the processor, a force of the
punch event based upon the acceleration data and of the punch
event; and displaying, by the computer, the type of punch, the
speed and the force of the punch event.
12. The system of claim 11, wherein the accelerometer is placed on
the wrist of the boxer.
13. The system of claim 11, wherein the accelerometer is inserted
into a pocket of the glove on the boxer.
14. The system of claim 11, further calculating based on the
accelerometer data: punch counts, speed of the punch, force of the
punch, and type of punch.
15. The system of claim 14, wherein type of punch comprises one or
more of: a jab, a straight, a hook, and an uppercut.
16. The system of claim 11, further comprising: based on analysis
of the boxer, providing options to chat or purchase
merchandise.
17. The system of claim 11, further determining faults of the
boxer's movement based on the activity related data.
18. The system of claim 11, further calculating a comparison
between the boxer's form and a professional boxer's form.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application is a continuation of U.S. patent
application Ser. No. 14/134,092, filed Dec. 19, 2013, which is
issuing as U.S. Pat. No. 9,120,014, which is a continuation of U.S.
patent application Ser. No. 12/502,726, filed on Jul. 14, 2009,
which issued as U.S. Pat. No. 8,622,795 on Jan. 7, 2014, which
claims priority to U.S. Provisional Patent Application No.
61/119,915, filed Dec. 4, 2008, all of which are hereby
incorporated by reference entirety.
BACKGROUND
[0002] 1. Field of the Invention
[0003] The invention relates generally to the field of analyzing
motion data for translation to qualitative assessment, and more
particularly, to systems and methods for the analysis and display
of qualitative outcomes regarding object data in sports
entertainment.
[0004] 2. Description of the Related Art
[0005] Many currently available data capture and analysis devices
for athletes are intrusive to the athlete's performance. As a
result, the devices may not be effectively used in an analysis
during an event. In another scenario, the athlete may refuse to
incorporate the device into his equipment or attire. A professional
boxer, for example, wears footwear, boxer shorts, and boxing gloves
during a boxing bout. Some amateur boxers can wear head gear and a
vest, but a professional boxer does not. In another example, a
soccer player wears footwear, shin guards, shorts, and a shirt. An
athlete's uniform is designed for maximum mobility and protection,
and should not impede the performance of the athlete. Thus, there
is a need for a system and a method for data capture and analysis
that does not interfere with an athlete's actions and abides by the
rules of the sport.
SUMMARY
[0006] The systems and methods described herein attempt to provide
data capture and analysis in a non-intrusive fashion. The captured
data can be analyzed for qualitative conclusions regarding an
object's actions.
[0007] In one embodiment, a computer-implemented method analyzes
activity of an athlete to permit qualitative assessments of that
activity using a processor. The method comprises receiving
activity-related data from sensors on the athlete. A database
stores the activity-related data. The processor compares the
received activity-related data against a set of pre-identified
discrete outcomes. The processor identifies by the processor one of
the pre-identified outcomes as corresponding to the received
activity-related data based on the comparison of the received
activity-related data against the set of pre-identified outcomes.
The identified pre-identified outcome is displayed.
[0008] In another embodiment, a system for analyzing activity of an
athlete to permit qualitative assessments of that activity
comprises a first processor to receive activity-related data from
at least one sensor on the athlete. The at least one sensor has a
first three-axis accelerometer coupled to the first processor and a
first gyroscope coupled to the first processor. A first database
stores the activity-related data from the at least one sensor. A
second database contains pre-identified motion rules. A transmitter
couples to the first processor to transmit the activity-related
data to a second processor. A receiver couples to the second
processor to receive the activity related data from the
transmitter. The second processor compares the received
activity-related data to the pre-identified motion rules, wherein
the second processor identifies a pre-identified motion from the
pre-identified motion rules that corresponds to the received
activity-related data. A memory stores the identified pre-selected
motion.
[0009] In another embodiment, a method analyzes hand activity of a
boxer with an accelerometer and a gyroscope disposed on a hand of
the boxer using a computer having a memory to permit qualitative
assessments of the activity. The method comprises receiving by a
computer hand activity-related accelerometer data from the
accelerometer disposed on the hand of the boxer. A computer
receives hand activity-related gyroscope data from the gyroscope
disposed on the hand of the boxer. The memory stores the hand
activity-related accelerometer and the hand activity-related
gyroscope data. The computer detects a hand event and if a hand
motion is detected, compares the received hand activity-related
accelerometer data and hand activity-related gyroscope data against
a motion profile. The computer identifies a hand motion
corresponding to the received hand activity-related accelerometer
and gyroscope data based on the comparison of the received hand
activity-related accelerometer and gyroscope data against the
motion profile.
[0010] In another embodiment, a computer program product has a
computer usable medium having computer readable program code
embodied therein for analyzing hand activity of a boxer with an
accelerometer and a gyroscope disposed on a hand of the boxer. The
computer readable program code in the computer program product has
computer readable program code for receiving hand activity-related
accelerometer data from the accelerometer disposed on the hand of
the boxer. The computer readable program code has code for
receiving hand activity-related gyroscope data from the gyroscope
disposed on the hand of the boxer. The computer readable program
code has code for storing the hand activity-related accelerometer
and the hand activity-related gyroscope data in the memory.
Additionally, there is computer readable program code for detecting
a hand event. The computer readable program code has code for
comparing the received hand activity-related accelerometer data and
hand activity-related gyroscope data against a motion profile if
the hand event is detected. The computer readable program code has
code for identifying a hand motion corresponding to the received
hand activity-related accelerometer and gyroscope data based on the
comparison of the received hand activity-related accelerometer and
gyroscope data against the motion profile.
[0011] In another embodiment, a computer program product has a
computer usable medium that has computer readable program code
embodied therein for analyzing activity of an athlete to permit
qualitative assessments of that activity. The computer program
product has code for receiving activity-related data from sensors
on the athlete. The computer readable program code has code storing
the activity-related data in a database. The computer readable
program code has code for comparing by the received
activity-related data against a set of pre-identified discrete
outcomes. The computer readable program code has code for
identifying by the processor one of the pre-identified outcomes as
corresponding to the received activity-related data based on the
comparison of the received activity-related data against the set of
pre-identified outcomes. The computer readable program code for
displaying the identified pre-identified outcome.
[0012] In another embodiment, a system analyzes punch activity of a
boxer with an accelerometer and a gyroscope disposed on a hand of
the boxer to permit qualitative assessments of the activity. The
system has means for receiving hand activity-related accelerometer
data from the accelerometer disposed on the hand of the boxer, a
means for receiving hand activity-related gyroscope data from the
gyroscope disposed on the hand of the boxer, a means for storing
the hand activity-related accelerometer and the hand
activity-related gyroscope data, a means for detecting a hand
event, a means for comparing the received hand activity-related
accelerometer data and hand activity-related gyroscope data against
a motion profile if the hand event is detected, and a means for
identifying a hand motion corresponding to the received hand
activity-related accelerometer and gyroscope data based on the
comparison of the received hand activity-related accelerometer and
gyroscope data against the motion profile.
[0013] In another embodiment, a computer-implemented method
displays qualitative hand assessment data of a boxer having an
accelerometer and a gyroscope disposed on a hand of the boxer. The
method has a computer that receives a real-time video data of the
boxer. The computer receives data from a visualization engine,
wherein the data comprises a real-time hand analysis data, and
wherein the real-time hand analysis data comprises data identified
by the analysis engine as one of a pre-identified outcome stored in
a database corresponding to the data from the accelerometer and the
gyroscope. The computer simultaneously displays the real-time video
data and the real-time hand analysis data.
BRIEF DESCRIPTION OF THE DRAWINGS
[0014] In the Figures:
[0015] FIG. 1 shows an overall system design according to an
exemplary embodiment;
[0016] FIG. 2 shows various available data sensors and locations on
a boxer's body according to an exemplary embodiment;
[0017] FIG. 3 shows various available end uses according to an
exemplary embodiment;
[0018] FIG. 4 shows a system for transmitting data from an item of
athletic equipment to a computer according to an exemplary
embodiment;
[0019] FIG. 5 shows a boxing glove cuff adapted to hold sensors
according to an exemplary embodiment;
[0020] FIG. 6 shows a boxing glove adapted to hold sensors
according to an exemplary embodiment;
[0021] FIGS. 7a to 7e show various perspective views of a soft
switch assembly according to an exemplary embodiment.
[0022] FIG. 8 shows a system for collecting data from sensors
according to an exemplary embodiment;
[0023] FIG. 9 shows an accelerometer according to an exemplary
embodiment;
[0024] FIGS. 10a to 10d show jab and uppercut data in the form of
graphs and corresponding punch depictions according to an exemplary
embodiment;
[0025] FIG. 11 shows a flow diagram of a method to analyze and
display data according to an exemplary embodiment;
[0026] FIG. 12 shows a screen shot of boxing display data and
analysis according to an exemplary embodiment; and
[0027] FIG. 13 shows a 2-dimensional representation of location
triangulation according to an exemplary embodiment.
DETAILED DESCRIPTION
[0028] Reference will now be made in detail to the preferred
embodiments of the present invention, examples of which are
illustrated in the accompanying drawings.
[0029] FIG. 1 shows an exemplary system for capturing and analyzing
activity-related data on an athlete 100. The exemplary system 100
can include, among other components, at least one sensor 102 or
other data capture device 104, a signal strength monitor 105, and a
transmitter 106 connected to the sensor 102 or data capture device
104. The sensor 102 can be positioned within equipment on the
athlete to collect data regarding acceleration, force, orientation,
or impact and transmit this data through the transmitter 106 to a
data capture application 112 on a computer with a receiver (not
shown). For example, in boxing, sensor data can be collected and
analyzed for determining the speed and vector of a punch. The
signal strength monitor 105 can judge the distance of the
transmitter 106 or other radio device from the monitor using the
strength of the signal. Data from multiple signal strength monitors
105 can be used to calculate the location of an athlete, or even
parts of the athlete. The sensor 102 and/or data capture device
104, such as a camera, can provide activity-related data that is
transmitted from the athlete's equipment to the computer, where it
can be stored in a database and analyzed.
[0030] The computer connected to the sensor 102, data capture
device 104, signal strength monitor 105, and/or transmitter 106 can
execute a data capture application 112, a server application 114,
analysis software 116, a database platform 118, and a visualization
engine 120. The data capture application 112 receives input data
from data capture devices 104 and sensors 102 and stores them in a
memory, such as RAM, a hard drive, a database, or flash memory. A
server application 114 has access to the data stored by the data
capture application 112 and coordinates the data with analysis
software 116, the database platform 118, and the visualization
engine 120. The analysis software 116 compares the received data
with historical data in the database. The analysis software then
sends the results of its analysis to the server application 114.
The server application 114 sends the analysis results to a
visualization engine 120 that displays the results. Each
application can be on a single computer or on separate computers
connected through a network or the internet.
[0031] FIG. 2 illustrates various sensors and data capture devices
that can be positioned within the equipment and clothing of an
athlete 200. In one embodiment, an athlete can wear headgear 202
having a biometric sensor 204, a motion capture surface 206, and a
force sensor 208. The biometric sensor 204, such as a temperature
sensor, can be positioned between the headgear pads and the
forehead of the athlete, monitoring the temperature of the athlete
during an event. The motion capture surface 206 can be a surface
coated with retro-reflective material to reflect light at a camera.
A camera can be fitted with a filter so that only infrared light is
sampled. Since the retroreflective material is more reflective than
the rest of the materials used, the camera can effectively ignore
the background. The force sensor 208 can also be positioned near
the forehead on the headgear 202 to sense when and how forceful
contact is made with the headgear 202. The headgear 202 can also
have a microprocessor and wireless transmitter board 210 to
transmit the data captured by the sensors on the headgear 202 to a
computer running a data capture application. The sensors 204, 208
can be connected to the microprocessor through a wired transmitter
211. The microprocessor is on the same printed circuit board as the
wireless transmitter, which can transmit collected data to a
computer.
[0032] The athlete 200 can wear a waist guard 212 having a force
sensor 214, a biometric sensor 216, a motion capture surface 220, a
microprocessor and wireless transmitter board 222, and a wired
transmitter 218 connecting the sensors 214, 216 to microprocessor.
The sensors 214, 216 and motion capture surface 220 on the waist
guard 212 can be used similarly to the sensors 204, 208 and motion
capture surface 206 on the headgear 202.
[0033] The athlete 200 can wear a glove 240 that has a motion
capture surface 244, a force sensor 242, an accelerometer 248, a
gyroscope 249, and a microprocessor and wireless transmitter board
246. The motion capture surface 244 and force sensor 242 can be
used similarly to the sensors on the headgear 202 and waist guard
212. The accelerometer 248 can be used to sense motions of the
glove 240 during an event. A three-axis accelerometer can collect
data on the motions of the glove 240 in a three dimensional space.
A gyroscope 249 can be used to collect data on the orientation of
the glove 240, allowing for the calculation of the rotation of the
wrist and glove 240. This data can be used in motion analysis of
the glove 240, for example, the type of punch thrown by a boxer.
The sensors 242, 248, 249 can be connected to a microprocessor and
wireless transmitter board 246 to transmit the data from the glove
240 to a computer.
[0034] The athlete 200 can also wear footwear 230 having a motion
capture surface 232 and a sensor, microprocessor, and wireless
transmitter board 234. The motion capture surface 232 can be
implemented like the headgear 202 and waist guard 212. The sensors
on the footwear 230 can include accelerometers to measure the
motion of the athlete 200. The data collected by the sensors can be
transmitted to a computer and analyzed as discussed in the glove
240 embodiment.
[0035] The sensors and data capture devices depicted on any one
article of the athlete's clothing can be similarly used on other
articles of clothing. For example, an accelerometer can be
positioned within headgear 202 to capture data about the athlete
200. The sensors can also be positioned in different places within
the gear or clothing. Further, the sensors can be placed on the
same printed circuit board as the processor and transmitter or the
transmitter can be separate from the processor.
[0036] FIG. 3 shows various aspects that can be implemented by the
system in FIG. 1. A visualization engine 302 can process
information including enhanced statistics, interactive
visualizations, real-time information for officials and advanced
athletic training programs. The visualization engine 302 can
interact with a television 304 to display live, on demand, pay per
view, DVD, Blu-Ray, Interactive television, and gaming extras.
Extras include enhanced statistics, interactive visualizations, and
real-time information. The television display can interact live
with the content of the visualization engine by sending signals to
and from a cable box. The television display can interact with a
visual storage medium such as a DVD or Blu-Ray Disc by embedding
information about the athletic activity in the DVD or Blu-Ray Disc.
The visualization engine 302 can interact with computers 306 for
computer extras, virtualization and 3D rendering, gaming, and
training programs. The visualization engine 302 can also interact
with mobile devices 308 such as cell phones and smart phones to
display mobile extras, virtualization and 3D rendering, mobile
gaming, and create a mobile community with communication and
networking.
[0037] The exemplary system 100 can also provide support for live
events 310. Similar to televisions, statistics and overlays can be
displayed on a large scale display such as a Jumbotron screen at
live events. The system can analyze data to detail how tired an
athlete is by trending and/or tracking the speed and force of the
athlete's motions. The system 100 can also interact with and
display information for officials such as referees, judges,
coaches, trainers, and doctors to monitor athletes at an event.
Also, the system 100 can be used to display extras on monitors for
on-site gambling and sweepstakes. The system 100 can also be used
at a live event 310 for automated camera control.
[0038] In one exemplary embodiment, sensors and other data capture
devices can be placed on a boxer. FIG. 4 illustrates how data can
be transmitted from a piece of equipment on the boxer's hand or
wrist, such as a boxing glove 400 or a cuff 402 to a computer 404.
The cuff 402 can be wrapped around the boxer's wrist and positioned
over or under a cuff of the boxing glove 400. The boxing glove 400
has the advantage of being capable of having more sensors, such as
contact sensors, than the cuff 402. The cuff 402 has the advantage
of being used with multiple boxing gloves. A sensor and wireless
radio board 406 can be a printed circuit board that can transmit
the data captured from the sensors to a receiving board 408
connected to the computer 404. The receiving board 408 can be a
radio for receiving information from the sensor and wireless radio
board 406 or can have additional functionality, such as data
processing. The sensors are not required to be positioned on the
same board as the wireless radio, but can be positioned on the same
board to save space and weight.
[0039] As shown in FIG. 5, a cuff 500 can have a wireless sensor
board 502 connected to a battery 504 positioned within the cuff
500. The cuff 500 can be constructed of foam material to protect
the wireless sensor board 502 and battery 504. Additional foam 506
can be folded over to create a cuff pouch that the wireless sensor
board 502 and battery 504 can easily slip in and out of. The
mobility of the wireless sensor board 502 and battery 504 helps
with troubleshooting in the field because one board or battery can
be replaced by another. Due to the miniature size of the wireless
sensor board 502 and battery 504, a boxer can comfortably wear the
cuff 500. The wireless sensor board 502 and battery 504 are also
light for the convenience of the boxer.
[0040] In another embodiment, a battery and wireless sensor board
602 can be placed in a boxing glove 600, as shown in FIG. 6. A foam
layer 604 around the wireless sensor board 602 can protect the
board. With this protection, the wireless sensor board 602 can be
slipped into a pocket 606 in the glove 600. The wireless sensor
board 602 is positioned on the on the forearm side of the boxing
glove 600 so the board does not absorb a direct hit to the outside
of the boxing glove 600. The mobility of the wireless sensor board
can allow for quick troubleshooting and replacement. The wireless
sensor board 602 can also have inputs for sensors positioned within
the glove 600. The glove 600 can have internal sensors connected
through a conductive ribbon or wire to the pocket 606. As in the
cuff 500 embodiment, the wireless sensor board 602 does not have to
be a single unit.
[0041] In yet another embodiment, as shown in FIGS. 7a to 7e, a
soft switch can be positioned within a boxing glove to indicate
when an impact on the boxing glove has occurred. A soft switch can
be constructed out of two layers of conductive fabric 702 separated
by a non-conductive mesh 704 sewn into the punching face of the
glove. FIGS. 7a and 7b show a plurality of non-conductive meshes
with varying densities. A charge is applied to the conductive
fabric 702. When non-compressed, the mesh fabric 704 separates the
two conductive fabrics so no current can flow between the two
conductive layers. Current can only flow when the glove strikes a
target with enough force to temporarily press the two pieces of
conductive fabric 702 together through the holes in the mesh. When
the face of the glove is compressed by the contact, the two
conductive panels 702 touch through the mesh 704, closing the
switch and indicating an impact. A plurality soft switches can be
used to determine what face of a glove made impact. Further,
switches with different mesh density can be used to approximate
force. By placing multiple soft-switches with varying mesh
sensitivities in a glove, force can be coarsely approximated. A
different amount of force would be required to compress
soft-switches with different density meshes. The switch can be
attached to a conductive ribbon that leads to the pocket 606 in the
glove 600. The conductive ribbon can be attached to the wireless
sensor board 602 allowing for synchronization and transmission of
the sensor data.
[0042] A property of any switch is bounce, which is multiple
contacts of the switch in the space of a few milliseconds. Bounce
leads to a false reading of the switch, as it may indicate multiple
closures when only one effective closure occurred. A bounce can be
corrected by circuitry using a capacitor and a resistor or by
software to compensate for the bounce. According to known methods,
the switch data can be processed to account for the bounce once
transmitted from the wireless sensor board 602 to a computer, which
could save battery life.
[0043] Various sensors can be placed on the wireless sensor board
800 to capture data of a boxer's punch, including accelerometers
802 and gyroscopes 804. Accelerometers 802 can be positioned on the
sensor board 800 to provide data on the acceleration of boxer's
punch. Accelerometers 802 on the board 800 can have multiple axes.
Three-axis accelerometers are available or can be built by using
multiple single-axis or dual-axis accelerometers having the axes
arranged orthogonal to each other together, thereby creating at
least X, Y, and Z axes. Acceleration data can be measured on each
of the axes and the data on the axes can be correlated to show
movement of the wireless sensor board 800 in three dimensions.
[0044] Many currently available accelerometers have low range, high
resolution capabilities or high range, low resolution capabilities.
Accelerometers calculate acceleration, a common unit to measure
acceleration is the acceleration due to gravity, g. 1 g=9.8
m/s.sup.2. A low range accelerometer may have the range of about 0
g to 6 g. This range would be insufficient to monitor the
acceleration of a punch because the punch of a boxer can be in
excess of about 100 g. Multiple accelerometers with varying ranges
and resolutions can be used to collect more complete data on a
boxer. For example, a low-range accelerometer with the range of
about -3 g to +3 g can be used in conjunction with medium-range
accelerometer with a range of about -18 g to +18 g, and a
high-range accelerometer with a range of about -100 g to 100 g. The
lower range accelerometers can generate more precise data during
the initial acceleration and deceleration phases while the
high-range accelerometer can be used to calculate maximum
acceleration.
[0045] FIG. 9 shows how a 3-axis accelerometer 900 can be used to
calculate orientation. The sensors generate data that about the
instantaneous acceleration rates on all three axes. Correlation of
this data on a sensor 902 yields tilt values in the form of pitch
906 and roll 908 by using earth's gravity as a reference point.
Pitch 906 can be found by calculating the angular difference
between the z-axis location and the force of gravity by correlating
the force of gravity on the y-axis. Roll 908 can be found by
calculating the angular difference between the z-axis location and
the force of gravity by correlating the force of gravity on the
x-axis.
[0046] A gyroscope 904 can also be placed on the sensor board to
provide data on the angular motion of a fist as it moves through
space. A gyroscope measures angular acceleration. A gyroscope can
measure the orientation of an object independent of its
acceleration. Yaw, pitch, and roll can all be determined by a
gyroscope, a gyrometer, or an angular motion sensor. A gyroscope
can sense angular rate change, for example at -500 degrees to +500
degrees each second. A multiple-axis gyroscope can be used to get
complete angular motion data in a three dimensional space. Examples
of a gyroscope are the InvenSense IDG-300 and IDG-600. One axis can
be used to sense yaw, a second axis for pitch, and a third axis for
roll.
[0047] The sensors can be either digital or analog. If the sensors
are analog, an analog to digital converter may be necessary to
convert the data into a digital signal to be used by a processor
906. Many micro-controllers available today contain built-in analog
to digital converters. The processor 906 can then format the data
so it is suitable for transmission. The processor can store the
data in its own memory or external memory until transmitted.
[0048] Data can be collected at one frequency and stored in the
memory of the processor 906. Then, the processor 906 can transmit
the data through a Radio Frequency (RF) Transmitter 908 to an RF
Receiver 910 connected to a computer 912. The computer 912 can
store the information in various ways, such as a database table.
The computer 912 can analyze the data or send the data to another
computer to analyze the data. Multiple transmitters used at the
same time can be on different frequencies to minimize radio
interference and possible data loss. Various transmitters and
receivers can be used, including, but not limited to, Bluetooth,
802.11g, 802.11n, and other radios.
[0049] The collection of data by the processor 906 can be
synchronized so that the data collected can be processed together.
One way of synchronizing is by using a single clock signal for all
sensor readings. Analysis software can then analyze the data in
real time, with each data point on each sensor corresponding in
time with the other sensors. Synchronization can also occur by
timestamping the data to a common clock, thereby allowing for some
of the data to be sensed at different frequencies. The timestamps
also allow for synchronization by the analysis software of multiple
sensor boards. This can be accomplished because the analysis
software will have the data of the clock frequencies and time
stamps of each of the boards. These boards can be synchronized
prior to use so the analysis software can analyze data on multiple
sensor boards at the same time.
[0050] In one embodiment, a thrown punch is detected and identified
as a punch event within a stream of continuous data. A thresholding
scheme combines the acceleration along all three axes to detect and
identify the punch. When a value exceeds a preset threshold limit,
the system can register a punch and begin analyzing the continuous
data to determine the type, motion, and other statistical data of a
punch. Complete analysis of a punch can take into account data that
occurs before the threshold limit is passed.
[0051] The raw data collected by the accelerometers and gyroscopes
can be used to calculate instantaneous measurements. Such
measurements include the speed of each punch, the force of each
punch, the duration of each punch, the distance covered by each
punch, and other movements of the fist during a punch.
[0052] The speed and velocity of a punch can be determined by
integrating the acceleration from a starting point using
accelerometer data: v(t)=.intg.a(t)+v1. Because the acceleration
data is in digital format when a computer processes it, discrete
mathematics and a summation can be used for the calculation. The
computer processing the data can accommodate for gravity by
calculating the direction of gravity in relation to the axes of the
accelerometers when the sensors sense approximately only the force
of gravity (9.8 m/s 2). The processing computer can calculate the
direction of the force of gravity during motions thereafter by
correlating accelerometer and gyroscope data.
[0053] The distance covered by each punch can be determined over
the time of the punch: d(t)=.intg.v(t). Acceleration starting at a
fixed point can be integrated to calculate speed at a given time.
The speed can be integrated to calculate distance.
[0054] Sensor data can be analyzed to determine the force of a
punch. Force is equal to the product of mass times acceleration, or
F=ma. Mass is how much matter is present in an object, while
acceleration is the change in velocity over time. The force of a
punch can be determined using the deceleration of the fist at the
time of impact of the punch and the mass of a boxer's arm. The mass
of a boxer's arm can be approximated by calibration. A boxer
equipped with a sensor glove can punch a force sensor, like a force
sensing resistor. The force sensor determines the force of a punch.
The accelerometer determines the acceleration of the punch. Using
those two data points, we can determine the approximate mass of the
boxer's arm for that particular type of punch. The approximate mass
of the boxer's arm for a particular type of punch can be used as a
constant to approximate the force of a boxer's punch. The
approximate mass of a boxer's arm can be profiled so that different
types of punches by a particular boxer have different approximate
masses. This is to account for how much of a boxer's body is used
during a particular type of punch. Multiple profiling rules can be
created for a boxer.
[0055] The duration of each punch can be found by using a clock to
time a punch starting when acceleration starts and ending at hit,
block, or miss. If a thresholding level is used as a cue that a
punch has begun, analysis software can be used to determine when
the punch actually started, not just when the threshold was met. A
rule can be set so that a punch starts when a sharp acceleration
begins. Deceleration data can be used to determine when the punch
ended.
[0056] A sharp deceleration during a punch event can indicate a
hit. For example, when an uppercut hits the abdomen of an opponent,
the uppercut decelerates sharply due to the hit. A sharp
deceleration is also seen when a jab hits the head of an opponent.
In this case, though, the sharp deceleration is not the end of the
movement, rather the sharp deceleration is part of the a complete
follow through motion. Multiple rules can be set for when a punch
event has ended and a hit is registered.
[0057] A block can be indicated by a lateral movement of the fist
during the course of a punch revealed by an acceleration to the
side with a forward deceleration. Additional information can be
taken from an opponent's gloves registering a blocking motion at
the same time as the punch event. The data from both boxers can be
correlated to show both a punch and block. A block motion by the
defender can be recorded as a lateral motion of the glove, as well
as an inward motion by the glove at the time of an impact. The
motion can be indicated during the punch event by the offensive
opponent. Multiple rules can be set for when a punch event has
ended and a block is registered. Data from both boxers can be
profiled and rules set up for both individuals, as well as general
rules.
[0058] A missed punch can be indicated by a slow forward
deceleration along with a completed punch movement. A completed
punch movement can be set as a rule. Accelerometer data not
indicating a hit or block deceleration during the course of a punch
event can be considered a miss outcome. Multiple rules can be set
for when a punch event has ended and a miss is registered.
Different punch types can have different miss endpoints. Other end
outcomes can also be registered, such as a deflection.
[0059] Lateral and other movements of the fist during a punch can
be identified through data on lateral acceleration. Lateral
acceleration can be calculated by correlating accelerometer and
gyroscope data. As a punch moves forward, lateral acceleration can
be determined as being perpendicular with the forward acceleration
and parallel to the ground. The acceleration in combination with
orientation data can be used to determine lateral movements. Other
movements can include guarding and blocking during the punch
movement of the opponent.
[0060] Sensor data can be analyzed to determine the type of punch
thrown. The type of punch can be determined by using gyroscopes,
accelerometers, or both in combination. Vertical, outward, and
forward acceleration as well as wrist movements can be determined
by correlating gyroscope orientation data and accelerometer data. A
computer can be programmed with a set of rules defining each type
of punch. A punch can then be determined by comparing the live or
recorded data with the set of rules. The rules can be in the form
of pre-identified motions or outcomes.
[0061] FIG. 10a depicts a jab motion along an x-axis. The motion
can also be detected in three dimensions, but is simplified in this
example to two axes. A jab starts from a block position 1002a, then
moves forward with a twisting of the wrist 1002b and ends with the
palm faced down and the arm extended 1002c. Gyroscope data shows
that a jab goes from a roughly vertical orientation 1002a while in
guard position, moves straight out from the leading shoulder 1002b,
and rotates approximately 90 degrees to finish with the palm facing
downward 1002c at the end of the punch. Accelerometer data shows
that a jab is a fast acceleration from the leading hand in a
direction away from the boxer's body. The data can be used to
create a rule for a complete jab motion and the rule can be stored
in a database. Pre-identified motion patterns can also be used to
create the rule. A separate jab rule can be created for a jab that
hits. The rule can include a sharp deceleration of the punch
followed by a follow through on the motion. Different rules can be
set up for different stages of completion of the punch before
deceleration. Multiple rules for jabs can be created, some
specifically calibrated to an individual boxer.
[0062] FIG. 10b shows an uppercut motion occurring on a z-axis and
an x-axis. The motion can also be detected in three dimensions, but
is simplified in this example to two axes. An uppercut is a close
proximity punch with vertical movement and a small forward motion.
An uppercut can start from a guard position 1004a, then the
accelerometer data would show a vertical acceleration with a small
forward component. The motion can be viewed as parabolic, with the
motion being completed 1004b as the boxing glove comes back towards
the boxer. The boxer's wrist also twists so that the inside of the
fist comes towards the boxer. A gyroscope will indicate the
twisting of the wrist at roughly 45-90 degrees from the beginning
of the punch to the end. The data can be used to create a rule for
a complete uppercut motion and the rule can be stored in a
database. Pre-identified motion patterns can also be used to create
the rule. Separate rules can be created for when an uppercut that
hits an opponent. Accelerometer data can indicate a hit by having a
sharp deceleration in the forward and vertical movement. Different
rules can be set up for different stages of completion of the punch
before deceleration. Multiple rules for uppercuts can be created,
some specifically calibrated to an individual boxer.
[0063] FIG. 10c depicts a right hook on an x-axis and y-axis. The
motion can also be detected in three dimensions, but is simplified
in this example to two axes. A left or right hook is a punch with
little vertical movement with a component of outward, forward, and
inward motion. From a guard position, the punch can be seen as
moving outward 1006a. The punch moves forward and outward 1006b,
then begins to turn inward 1006c. The hook is completed with the
fist moving inward 1006d towards an opponent. The accelerometers
will show the movement as forward and outward, and then forward and
inward. The gyroscope will show the twisting of the wrist with the
palm facing downward at the end of the punch. Data can be used to
create a rule for a complete hook motion and the rule can be stored
in a database. Pre-identified motion patterns can also be used to
create the rule. Separate rules can be created for when a hook hits
an opponent. Accelerometer data can indicate a hit by having a
sharp deceleration in the forward and inward movement. Different
rules can be set up for different stages of completion of the punch
before deceleration. Separate rules can be created for hooks, some
specifically calibrated to an individual boxer.
[0064] A soft switch, described above, can be coupled to the
accelerometers and gyroscopes to add an additional data point to
complement acceleration data. The soft switch can help analyze the
data by giving a time of impact. Impact can be used as a point for
when a hit occurs, when a block might occur, and when a miss
occurs. A hit or blocked punch can register data indicating the
time of impact. With the time of impact as a reference, the follow
through of a punch can be analyzed. A miss can occur when a punch
is completed without any impact.
[0065] Motion and punch data can be profiled and stored in a
database. A particular boxer's punches and motions can also be
profiled to create a boxer specific motion profile. The profiles
can go into even more detail and track changes in motions between
different rounds of a boxing match. Profiles can include data and
rules about pre-identified motions or outcomes. For example, one
outcome can be a jab. As discussed, the timing, acceleration, and
angular rate change data for this type of motion and outcome is
different than that of an uppercut. FIG. 10d graphically
illustrates how sensors could read different data for the motion of
a jab and the motion of an uppercut. The graphs show the X, Y, and
Z axes of an accelerometer as well as the X and Y orientation of a
gyroscope during the course of a jab and a subsequent uppercut. The
accelerometer and/or gyroscope data can be used to identify a jab
or uppercut. Similar analysis can be used to detect the outcome of
a punch, whether a punch landed, missed, or was blocked. The
orientation of the gloves and little acceleration of the fists can
represent a profile for the automatic detection of a boxer's
stance.
[0066] Analysis software can be used dynamically on the data
collected by the sensors to qualitatively determine whether a punch
has been thrown, and if so, what kind of punch was thrown. The
software can be implemented on known devices such as a personal
computer, laptop, a special purpose computer, a server, and various
other devices with processors. This software can be stored on a
computer readable medium and can execute programmable code on a
general purpose computer. FIG. 11 illustrates an exemplary method
to analyze the data dynamically.
[0067] A computer running analysis software 1102 receives
activity-related sensor data. A transmitter can send data
wirelessly from the sensors to a radio connected to the computer.
The computer can process raw data into more usable data structures,
such as a punch event. The computer can recognize a punch event as
a data on an accelerometer accelerating past a threshold value.
[0068] Once a punch event has been detected, the punch can be
analyzed. The computer obtains a motion profile from a profile
database 1104. The database can contain rules for different punch
types and punch outcomes. The database can be on a different
computer, accessed through a network, or be preloaded onto the
computer running the analysis software.
[0069] In stage 1106, the computer compares the activity-related
data to the motion profile rules. Punch event data can be compared
to general punch rules to narrow the type of punch into categories,
such as a possible uppercut, hook, or jab. The categories are rules
with broad punch data event possibilities. The rules can be
construed at as a container for types of punches. The broader the
rule, the more punch data that can fit within the container or
category. The punch event data can then be compared to more
specific rules within the general category.
[0070] In stage 1108, the analysis software can identify a
pre-identified motion or outcome in the motion profile
corresponding to the activity-related data. The motion rules can be
compared to the punch event data to determine what type of punch
occurred. Analysis can be used to determine the broad category of
the punch event as well as more descriptive categories. A more
descriptive categories can include a jab with a follow through, an
uppercut with no follow through, a missed jab, and a blocked right
hook. If an unknown motion is discovered, the motion will be added
to the database and a description for the motion can later be
filed. Outcomes can be the motions described above or in the form
of conclusions, such as a hit, block, or miss. Outcomes can be
determined by comparing outcome profile rules to the punch event
data. Punch event data can be in the form of a raw data stream or
data patterns.
[0071] Stage 1110 shows the computer storing or displaying the
identified pre-identified motions or outcomes. An example of
displaying the identified pre-identified motions or outcomes is by
overlaying the analysis on a live boxing screen, such as a
Jumbotron screen at an event, a television, or a website.
Information that a certain type of punch was registered can also be
stored in a database for later statistical analysis. The
information can also be used to update boxer-specific motion
profiles, both generally and round-by-round.
[0072] Another feature is software to generate statistics and score
a boxing match or sporting event. In boxing, the system can count
the number and types of punches thrown, landed, and blocked as
identified by the analysis software. The computer can act as an
unbiased and impartial referee. The scoring can be overlaid on a
large-scale display at a live event, a television, or via a
website, or stored in a database for future use.
[0073] Along with scoring and statistics, another aspect is
software to determine trending during the course of an event.
Trending includes the number of punches during an event, decrease
in punch speed over the course of an event, the current most
powerful or fastest punch of the night, and the most powerful or
fastest puncher. The number of punches for each athlete and each
hand can be counted throughout the night. Decrease or increase in
punch speed throughout the course of an event can be determined by
tracking the calculated speed of each punch thrown during the night
by an athlete. All of this information can be shown on an overlay
during the course of a live event.
[0074] FIG. 12 exemplifies an embodiment where data gathered and
statistics can be overlaid on a screen. The screen can be either
interactive or non-interactive. In an interactive screen, there can
be options to chat 1202 or buy merchandise 1204. An interactive
user can choose the overlaid information boxes 1206, 1208 to view
information about an event and the athletes. A non-interactive user
can see rotating information boxes.
[0075] An exemplary system can also use the wireless radios on
articles of clothing or equipment to triangulate the position of an
athletes during an event. The signal strength of a radio on the
athlete can be used to approximate the distance between a signal
strength monitor and the radio. The signal strength monitor can
also be a receiver. Distance from a signal strength monitor can be
calculated using the inverse square law, signal strength=1/distance
squared. The signal strength monitor can also be calibrated to
ensure proper functionality. Calculating distance from a radio
signal can be accomplished using existing technology. FIG. 13 shows
a two-dimensional example of location tracking through
triangulation. Using the distance as a radius, the location of the
signal is narrowed to be on the perimeter 1302 of a circle.
Location can be triangulated using multiple signal strength
monitors. Adding a second fixed point of reference narrows the
position of the radio signal to two points, 1304 and 1306. Adding a
third fixed point of reference leaves one location point 1308 in
two dimensions. Adding a fourth fixed point of reference allows for
three dimensional tracking of the signals, using the surface of a
sphere instead of a circle for tracking More than four signal
strength monitors can be used. The signal strength monitors can be
placed in the corners of a boxing ring. Four monitors with known
heights and locations can be used to create a three-dimensional
virtual boxing ring to track the motion of the boxers. In an
alternative embodiment, eight signal strength monitors fixed around
a boxing ring can be used to track the motion of a boxer or the
locations of radios on the boxer. For example, four signal strength
monitors can be fixed at high locations and four can be fixed at
lower locations, e.g., the base of the boxing ring.
[0076] In another embodiment, one or more cameras can be used to
track the position of boxers during a boxing match. A single camera
can be used to track athletes in two dimensions. A camera can be
placed directly above the boxing ring. A high-resolution camera can
distinguish the boxers as distinct from the floor of the ring. A
computer can analyze the camera data frame by frame to track
boxers. The data can be analyzed by a computer to show how a boxer
is controlling the ring over the course of a round or fight, such
as by counting the number of punches thrown, blocks used, position
within the ring, or other collected data.
[0077] In another embodiment, multiple cameras can be used to
capture the motions of the boxer's body. The motion capture can be
accomplished using existing technology. Retro-reflective markers or
motion capture surfaces can be placed on the body so the cameras
can clearly distinguish between the body and the background.
Placement of markers on the joints would allow for more detail, but
markers on athletic clothing would interference less with a boxer.
The images from the cameras can be used to create a virtual
three-dimensional model or representation of the boxers in a
space.
[0078] Retro-reflective markers may interfere with normal
television camera operation. Therefore, an alternative to track the
body instead of relying on retro-reflective markers is to use UV
markers, UV illuminators, and cameras capable of capturing the UV
spectrum. Athletes could be coated with sun block to reflect the UV
light, which can be used to distinguish the athletes from the
background. Normal television cameras can be fitted with UV filters
to filter out any interference. The use of UV illuminators is not
necessarily recommended due to the possibility that the
illuminators may be hazardous to the health of the athletes and
audience.
[0079] A thermal imaging camera can be used to detect the surface
temperature changes of a boxer. The thermal camera can be used to
both track the surface temperature of an athlete and as a way to
distinguish between the athletes and other objects. Points of an
athlete, identified by temperature, can be marked by a computer and
followed throughout an event.
[0080] Data from cameras can be analyzed by connecting the cameras
to an analysis system. A computer can analyze camera data to detect
punch types. From above, punches can be seen in two dimensions, the
x-axis and y-axis. Other cameras can be set on the sides of an
event to give an x-axis and z-axis view, and a y-axis and z-axis
view. The computer can mark identifiable portions of a boxer's body
by differentiating those portions from background objects. Portions
that can be marked include a boxing glove and a boxer's elbow. Once
portions of a boxer's body are marked, discrete data can be
generated from video captured by the cameras. The generated data
can be analyzed to determine the type of punch thrown. Similar
methods to analyzing acceleration data can be used on the video
data. For example, from above, a left hook can be analyzed as an
outward forward motion followed by an inward forward motion. A high
resolution camera can even record the twisting of the forearm
during a punch. From the point of view of a camera, a jab goes from
a roughly vertical orientation while in guard position, quickly
moves straight out from the leading shoulder and rotates
approximately 90 degrees to finish with the palm facing downward at
the end of the punch. The camera can isolate that movement using
markers. Data could be correlated with data from an accelerometer
and gyroscope to increase the reliability of the analysis.
[0081] Data from cameras can also be analyzed to determine
uppercuts, left and right hooks, and other punches. A left hook can
be seen by a camera connected to a computer as moving outward from
the side of a boxer and then moving forward, with little vertical
movement. An uppercut can be seen by the computer as having a good
amount of vertical movement by the glove, with little horizontal
movement. Once again, this data can be correlated with data from
accelerometer, gyroscope, and impact sensors to increase the
reliability of the analysis.
[0082] In yet another embodiment, the system can have a camera
pointing at the triangulated position of the boxers for automatic
camera movement. A computer can be programmed to create a
three-dimensional grid of the boxing ring. The computer can then
triangulate the positions of the boxers using distance information
from multiple radios placed on each boxer. The camera can be
equipped to be moved autonomously or semi-autonomously by computer.
The computer can track the movements of the boxers in three
dimensions through triangulation and signal the camera to move.
[0083] Once a camera detects the gloves, the body, and the heads of
two boxers, a computer can determine where a punch hits with some
accuracy. Multiple cameras can be used to capture data from
multiple angles. The head of each boxer can be marked by the
computer, along with the torso and boxing gloves. When a boxer's
punch is thrown, the computer can analyze the glove's location
compared to the head and body of the opponent. Camera data can be
correlated with accelerometer and gyroscope data to coordinate when
a punch is thrown, its impact, and its location. For example, a
punch event can be recognized using accelerometer data. The type of
punch can be deduced by comparing accelerometer and gyroscope data
to motion profile rules. An impact time can be calculated using
deceleration rules or an impact sensor. A camera can determine
where the punch glove was as compared to the other boxer at the
time of impact.
[0084] In another embodiment, the system can be used for training.
The system can obtain raw data and analyze it while an athlete is
training Analysis software can display faults of an athlete's
movements while training. For instance, if an amateur boxer is
sparring with a professional boxer, both using a system to monitor
their movements, the amateur boxer can compare the way he holds his
hands as compared to the professional in order to improve in the
future. The computer can even give the trainee instructions on how
to improve. A trainee can also use the information to improve the
force of his punch. Further, for training, additional sensors can
be used that would normally not be used in a live event, such as
piezoelectric sensors to sense force and heart rate monitors.
[0085] Though many of the embodiments discussed are examples of
boxing, the systems and methods described can be applied to various
physical environments. For instance, martial arts and other
physical activities can use this technology for training, keeping
statistics, scoring, and adding entertainment value. In one
example, sensors can be placed in footwear for kickboxing and
soccer. In another example, motion profiling techniques can be used
to determine what motions occurred by using motion rules and
profiles. Outcomes can be determined for a variety of motions and
movements for different activities. Event data can be triggered by
different thresholds to correspond with different sports. In ice
skating, an event can begin when a certain threshold angular
acceleration is begun. For example, an event can be started for
calculating the rotational speed of a lutz and other jumps. In
wrestling, moves, such as a suplex, body slam, or a chop, can be
determined outcomes from data gathered through data capture
devices. Other uses can include, without limitation, kicking a ball
in soccer or football, gymnastics judging, free style skiing
judging, diving judging, and the swinging of a golf club.
Additionally, an outcome can be a foul or misstep, such as a step
outside of a boundary or a punch below belt. Such outcomes can be
used in judging to penalize an athlete or reduce an athlete's point
total.
[0086] The above-described technology can be implemented on known
devices such as a personal computer, a special purpose computer,
cellular telephone, personal digital assistant (PDA), a programmed
microprocessor or microcontroller and peripheral integrated circuit
element(s), and ASIC or other integrated circuit, a digital signal
processor, a hard-wired electronic or logic circuit such as a
discrete element circuit, a programmable logic device such as a
PLD, PLA, FPGA, PAL, or the like. In general, any device capable of
implementing the processes described herein can be used to
implement the systems and techniques according to this
invention.
[0087] It is to be appreciated that the various components of the
technology can be located at distant portions of a distributed
network and/or the Internet, or within a dedicated secure,
unsecured and/or encrypted system. Thus, it should be appreciated
that the components of the system can be combined into one or more
devices or co-located on a particular node of a distributed
network, such as a telecommunications network.
[0088] Furthermore, it should be appreciated that the various links
connecting the elements can be wired or wireless links, or any
combination thereof, or any other known or later developed
element(s) that is capable of supplying and/or communicating data
to and from the connected elements. Programmable code can be
embodied in a module including hardware, software, firmware, or
combination thereof that is capable of performing the functionality
associated with that code. The terms determine, calculate and
compute, and variations thereof, as used herein are used
interchangeably and include any type of methodology, process,
mathematical operation or technique.
[0089] Moreover, the disclosed methods may be readily implemented
in software, e.g., as a computer program product, executed on a
programmed general purpose computer, cellular telephone, PDA, a
special purpose computer, a microprocessor, or the like. In these
instances, the systems and methods of this invention can be
implemented as a program embedded on a personal computer such as a
JAVA.RTM., CGI or Perl script, as a resource residing on a server
or graphics workstation, as a routine embedded in a dedicated image
system, or the like. The systems and methods of this invention can
also be implemented by physically incorporating this system and
method into a software and/or hardware system, such as the hardware
and software systems of a computer. Such computer program products
and systems can be distributed and employ a client-server
architecture.
[0090] The embodiments described above are intended to be
exemplary. One skilled in the art recognizes that numerous
alternative components and embodiments may be substituted for the
particular examples described herein and still fall within the
scope of the invention.
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