U.S. patent application number 13/301650 was filed with the patent office on 2012-06-21 for magnetometer accuracy and use.
This patent application is currently assigned to APPLE INC.. Invention is credited to Ronald Keryuan Huang, Robert Mayor, Parin Patel, Patrick Piemonte.
Application Number | 20120157158 13/301650 |
Document ID | / |
Family ID | 43299691 |
Filed Date | 2012-06-21 |
United States Patent
Application |
20120157158 |
Kind Code |
A1 |
Mayor; Robert ; et
al. |
June 21, 2012 |
Magnetometer Accuracy and Use
Abstract
A parameter related to the Earth's magnetic field can be used to
determine accuracy of a magnetometer of a mobile device. In one
aspect, a first instance of a parameter related to Earth's magnetic
field is determined using data generated by the magnetometer. The
magnetometer data can be based in part on a position of the mobile
device with respect to the Earth. A second instance of the
parameter can be determined using data generated by a model of
Earth's magnetic field. The model data can also be based in part on
the position of the mobile device with respect to the Earth. The
first instance of the parameter can be compared with the second
instance of the parameter. An accuracy metric for the magnetometer
can be determined based on a result of the comparison. An
indication of the accuracy metric can be presented by the mobile
device.
Inventors: |
Mayor; Robert; (Half Moon
Bay, CA) ; Piemonte; Patrick; (San Francisco, CA)
; Huang; Ronald Keryuan; (San Jose, CA) ; Patel;
Parin; (San Francisco, CA) |
Assignee: |
APPLE INC.
Cupertino
CA
|
Family ID: |
43299691 |
Appl. No.: |
13/301650 |
Filed: |
November 21, 2011 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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13030067 |
Feb 17, 2011 |
8061049 |
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13301650 |
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12479717 |
Jun 5, 2009 |
7891103 |
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13030067 |
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Current U.S.
Class: |
455/556.1 |
Current CPC
Class: |
G01R 33/10 20130101;
G01V 3/087 20130101; G08B 7/06 20130101; G01C 17/38 20130101 |
Class at
Publication: |
455/556.1 |
International
Class: |
H04W 88/02 20090101
H04W088/02 |
Claims
1. A method performed by a processor of a mobile telephone having a
magnetometer, the method comprising: determining an accuracy metric
based on magnetometer measurements output by the magnetometer
during a calibration or recalibration procedure; and presenting an
indication of the accuracy metric on the mobile telephone.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application is a continuation of and claims priority to
U.S. application Ser. No. 13/030,067, entitled "Magnetometer
Accuracy and Use," filed Feb. 17, 2011, which is a continuation of
U.S. application Ser. No. 12/479,717, entitled "Magnetometer
Accuracy and Use," filed Jun. 5, 2009, the entire contents of which
are hereby incorporated by reference.
TECHNICAL FIELD
[0002] This subject matter is related generally to
magnetometers.
BACKGROUND
[0003] A mobile device such as a cellular phone or a smart phone,
PDA, handheld computer, navigational device, gaming device,
netbook, among others can be equipped with a magnetometer.
Magnetometer readings can be used to provide its user with a
direction, which may be a "heading" (typically given relative to
the Earth's true North), and/or an arrow pointing to true North.
The direction information may be provided for the user's own
navigation knowledge, for example, to tell the user which way is
north while the user is walking or driving in unfamiliar
surroundings. The direction information can also be used by a
navigation or map application that may be running on the mobile
device.
[0004] The magnetometer obtains a measure of the magnetic field
that is present in the immediate surroundings of the mobile device
as a two or three-component vector in a Cartesian coordinate system
using 2-axis or 3-axis magnetic sensors. The sensed magnetic field
can contain a contribution of the Earth's magnetic field and a
contribution by a local interference field (interference field
co-located with the mobile device). The latter is a magnetic field
that is created by field sources in the local environment of the
mobile device. This may include contributions made by one or more
magnetic components that are near the magnetic sensors, such as the
magnet of a loudspeaker that is built into the mobile device. The
interference field may also have a contribution due to one or more
magnetic objects found in the external environment close to the
device, such as when the user is driving an automobile, riding in a
train or bus, or riding on a bicycle or motorcycle. In most cases,
the interference field is not negligible relative to the Earth's
magnetic field. Therefore, a calibration procedure is needed to
reduce the adverse impact of the interference field contribution
from the sensors' measurements to allow the magnetometer to
calculate a more accurate direction.
[0005] There are several types of 3-axis calibration procedures. In
one such technique, the user is instructed to rotate the mobile
device (containing the magnetometer) according to a set of
geometrically different orientations and azimuth angles, while
measurements by the magnetometer and by an orientation sensor are
collected and analyzed to isolate or quantify the interference
field. The quantified interference field can then be subtracted
from the measurement taken by the magnetic sensor to yield the
Earth's geomagnetic field. The Earth's geomagnetic field can be
further corrected to get the true north direction, such as
correcting for magnetic variation (declination) due to the
variation of the Earth's magnetic field based on geographic
location.
[0006] In another 3-axis calibration technique, rather than
instruct the user to deliberately rotate the mobile device in a
predetermined manner, measurements are collected from the
magnetometer, continuously over a period of time, while the mobile
device is being used or carried by the user. This can lead to
random (albeit sufficient) rotations of the mobile device, such
that the magnetometer measurements define a desired, generally
spherical measurement space. The sphere is offset from the origin
of a coordinate system for the Earth's geomagnetic field vector by
an unknown offset vector, which can represent a substantial part
(if not all) of the interference field. Mathematical processing of
the measurements can be performed to "re-center" the sphere by
determining the offset vector. This technique is transparent to the
user because the user is not required to go through a calibration
procedure where the user deliberately rotates the device through a
specified set of orientations.
SUMMARY
[0007] A parameter related to the Earth's magnetic field can be
used to determine accuracy of a magnetometer of a mobile device. In
one aspect, a first instance of a parameter related to Earth's
magnetic field is determined using data generated by the
magnetometer. The magnetometer data can be based in part on a
position of the mobile device with respect to the Earth. A second
instance of the parameter can be determined using data generated by
a model of Earth's magnetic field. The model data can also be based
in part on the position of the mobile device with respect to the
Earth. The first instance of the parameter can be compared with the
second instance of the parameter. An accuracy metric for the
magnetometer can be determined based on a result of the comparison.
An indication of the accuracy metric can be presented by the mobile
device.
BRIEF DESCRIPTION OF THE DRAWINGS
[0008] FIG. 1A illustrates an exemplary Cartesian coordinate system
describing the Earth's geomagnetic field in accordance with some
implementations.
[0009] FIG. 1B illustrates an exemplary 2-axis magnetometer in
accordance with some implementations.
[0010] FIG. 2 is a block diagram of exemplary calibration system in
accordance with some implementations.
[0011] FIG. 3 is a flow diagram of an exemplary process for
determining magnetometer accuracy in accordance with some
implementations.
[0012] FIG. 4 is a block diagram of exemplary architecture of a
mobile device employing the process of FIG. 3 in accordance with
some implementations.
[0013] FIGS. 5A-5B are screenshots of a map user interface of a
mobile device having a magnetometer, including a heading error
indicator in accordance with some implementations.
DETAILED DESCRIPTION
The Earth's Magnetic Field--Overview
[0014] FIG. 1 illustrates an exemplary Cartesian coordinate system
for describing the Earth's geomagnetic field in accordance with
some implementations. The Earth's geomagnetic field vector, {right
arrow over (F)}, can be described by the orthogonal components X
(northerly intensity), Y (easterly intensity) and Z (vertical
intensity, positive downwards); total intensity F; horizontal
intensity H; inclination (or dip) I, and declination (or magnetic
variation) D. Declination, inclination and total intensity can be
computed from the orthogonal components using the equations
D = arctan ( Y X ) , ( 1 ) I = arctan ( Z H ) , ( 2 ) ##EQU00001##
F= {square root over (H.sup.2+Z.sup.2)}, and (3)
where H is given by
H= {square root over (X.sup.2+Y.sup.2)}. (4)
[0015] An angle .PHI. can be defined as the angle between the
geomagnetic field vector, {right arrow over (F)}, and the Earth's
gravitational acceleration vector (which is aligned with the Z
component of the Earth's geomagnetic field vector). The angle .PHI.
can be determined from the inclination angle I, or
.PHI.=90.degree.-I. At any given position on Earth, the total
intensity F is constant, regardless of magnetometer orientation.
Also, at any given position on Earth, the angle .PHI. is constant,
regardless of magnetometer orientation. The International System of
Units (SI) unit of magnetic field intensity most commonly used is
the Tesla.
[0016] FIG. 1B illustrates an exemplary 2-axis magnetometer in
accordance with some implementations. Magnetometers can be 2-axis
or 3-axis and the processes described here apply to both types of
sensors. In the interest of brevity, only a 2-axis magnetometer is
described.
[0017] In some implementations, 2-axis magnetometer sensor
configuration 100 can be used to calculate a heading for a variety
of applications, including applications running on a mobile device.
Sensor configuration 100 can include two magnetic field sensors
102, 104 mounted orthogonally on a board, substrate or other
mounting surface. Magnetic sensors 120, 104 can be included in an
integrated circuit (IC) package with or without other sensors, such
as accelerometers and gyros.
[0018] Sensor configuration 100 can be deployed in a host system
environment that contains interfering magnetic fields. Since the
Earth's magnetic field is a weak field (.about.0.5 Gauss), nearby
magnetic objects can interfere with the accurate measurements of
sensors 102, 104. A calibration procedure can be deployed to
isolate and remove the local magnetic interference. One technique
is to determine offsets or offset vector which can be subtracted
from sensor measurements to get accurate measurements of the
Earth's magnetic field. For 3-axis sensors, a third component, Z,
can be adjusted with an offset as well.
[0019] In one exemplary calibration procedure for a 2-axis
magnetometer, each heading computation can be assumed to be made
with a number of valid X and Y sensor readings which can be taken
with a minimal delay between each reading. For this exemplary
sensor configuration, sensors 102, 104 are at right angles with
respect to each other and lie level with respect to the Earth's
surface. By convention, the positive end of the X-axis points to
the North and the positive end of the Y-axis points to the East.
For this example, two consecutive sensor readings are made 180
degrees apart during calibration. These measurement pairs can be
represented by (X1, Y1) and (X2, Y2). The Earth's magnetic field in
any given direction, as measured with no interfering field can be
represented by offset pair (X.sub.E, Y.sub.E). Magnetic
interference can be represented by (X.sub.offset, Y.sub.offset).
Using these mathematical conventions, the two sensor readings can
be represented by
X1=X.sub.E+X.sub.offset; (5)
Y1=Y.sub.E+Y.sub.offset;
X2=-X.sub.E+X.sub.offset; and
Y2=-Y.sub.E+Y.sub.offset.
[0020] Assuming the magnetometer is fixed with respect to the host
system (e.g., a magnetometer installed in a mobile phone), the
readings (X1, Y1) and (X2, Y2) taken during calibration will both
contain the same interference values (X.sub.offset, Y.sub.offset).
Since the magnetometer readings taken during calibration are 180
degrees apart the readings are equal but opposite in sign. Solving
the equations above for X.sub.offset and Y.sub.offset yields
X.sub.offset=(X1+X2)/2, and (6)
Y.sub.offset=(Y1+Y2)/2.
[0021] A measurement of the sensor readings can be represented by
(X.sub.E, Y.sub.E). In some implementations, a basic calculation of
the heading can be performed using X.sub.E and Y.sub.E and the
equation:
A.sub.heading=arctan(Y.sub.E,X.sub.E), (7)
where the resulting heading A.sub.heading can be mapped into the
correct quadrant based on the signs of X.sub.E and Y.sub.E. The
heading A.sub.heading, calculated from measurements provided by the
magnetometer, is a magnetic heading that can be corrected by
combining the declination with the heading A.sub.heading to
identify a heading relative to true north.
[0022] Other implementations are possible. For example, the heading
can also be calibrated based on the orientation of the device
obtained from an accelerometer, inclination, and other types of
corrections or calibrations.
[0023] Once the offsets are determined, the offsets can be
subtracted from a subsequent sensor reading (X3, Y3).
X.sub.E=X3-X.sub.offset, (8)
Y.sub.E=Y3-Y.sub.offset.
[0024] Some additional techniques for performing 2-dimensional and
3-dimensional electronic magnetometer calibration are described in
co-pending patent application Ser. No. 12/479,182, Attorney Docket
No. 4860P7241, filed Jun. 5, 2009, for "Calibration Techniques For
An Electronic Compass In A Portable Device," which is incorporated
by reference herein in its entirety.
[0025] If a magnetometer is included in a mobile device, such as a
mobile phone, the local magnetic interference can change. For
example, if the user docks his mobile device (containing the
magnetometer) in his car, magnetic objects in the car could change
the local interference. This could result in the calibration
offsets becoming invalid. If the offsets are invalid, then the
magnetometer can perform a recalibration procedure to generate new
offsets. This recalibration procedure can be a tedious process for
the user if performed often, and may require the user to manipulate
the mobile device through a number of angles.
Example Calibration System
[0026] FIG. 2 is a block diagram of an exemplary calibration system
200 in accordance with some implementations. Calibration system 200
can include location processor 202, magnetometer 204, magnetometer
calibration module 206 and historical magnetometer data 208.
Calibration system 200 can be implemented in software, firmware,
hardware or a combination thereof. Location processor 202 can be a
GPS receiver or some other processor or receiver for implementing
cell tower positioning technology or a Wi-Fi positioning technology
(e.g., Skyhook.TM.). Magnetometer 204 can be a 2-axis or 3-axis
magnetometer sensor. Magnetometer calibration module 206 can be
software that receives position data and magnetometer data from
location processor 202 and magnetometer 204, respectively.
[0027] In some implementations, calibration system 200 can respond
to a recalibration trigger event. A recalibration trigger event can
be any event that triggers a recalibration procedure on the mobile
device. The trigger event can be based on time, location, mobile
device activity, an application request, magnetometer data, etc.
Responsive to the recalibration trigger event, location processor
202 can determine a current position of the mobile device. The
position information can provide various parameters related to the
Earth's magnetic field, which can be used with an Earth geomagnetic
field model to recalibrate the magnetometer. For example,
declination D, inclination I, and total intensity, F, can be
determined from the position information. The angle .PHI. can be
determined from the inclination, I, or the dot product of {right
arrow over (F)} and the gravitational vector, , which can be
received from location processor 202 and/or taken from an
accelerometer reading. Once these parameters are determined, one or
more of the parameters (collectively referred to as "historical
magnetometer data") can be stored in a look up table or other
repository for subsequent search and retrieval.
Example Process for Determining Magnetometer Accuracy
[0028] FIG. 3 is a flow diagram of an exemplary process 300 for
determining magnetometer accuracy in accordance with some
implementations. In some implementations, process 300 begins by
determining a first instance of a parameter related to Earth's
magnetic field using first data generated by a magnetometer of the
mobile device. The first data can be based at least in part on a
position of the mobile device with respect to the Earth (302). For
example, a number of samples of the angle .PHI. can be calculated
using magnetometer data and the Earth's magnetic vector, {right
arrow over (F)}, can be determined from X, Y, Z sensor readings, as
described in reference to FIG. 2. The dot product of the Earth's
magnetic vector, {right arrow over (F)}, and the gravitational
vector, , yields the angle .PHI.. A second instance of the
parameter can be determined using second data generated by a model
of the Earth's geomagnetic field. The second data can be based at
least in part on a position of the mobile device with respect to
the Earth (304). For example, based on the position of the
magnetometer with respect to the Earth, the geomagnetic field model
can be used to generate inclination angle, I'. Then
.PHI.'=90.degree.-I'.
[0029] The first instance and the second instance can be compared
(306). For example, a variation can be computed between sample
angles .PHI. and model angles .PHI.' computed from a model of the
Earth's geomagnetic field (e.g., 10.sup.th Generation IGRF model).
A running average of the variation can be determined from a set of
N samples (e.g., N=10 samples), where N is a positive integer, as
follows:
var ave = 1 N n = 0 N ( .PHI. - .PHI. ' ) 2 . ( 9 )
##EQU00002##
[0030] If a 2-axis magnetometer is used, then .PHI. can be a fixed
horizontal projection to the 2-axis plane given by H.sub.fixed=F
cos(I).
[0031] An accuracy metric can be determined for the magnetometer
based on results of the comparison (308). For example, a queue or
other data structure can be used to store the maximum variation,
var.sub.max over a given window of time. In this example,
var.sub.max is the maximum value of var.sub.ave observed over M
samples (e.g., M=30 samples). An approximate standard deviation
value can be determined using the formula
val = var max var ave * f scale , ( 10 ) ##EQU00003##
where f.sub.scale is a scaling factor for moving the approximate
standard deviation value calculated in equation (10) into one of a
number of accuracy level "buckets" based on .PHI.. In equation
(10), the maximum average variance, var.sub.max, is divided by the
average variance to approximate a standard deviation value. In
equation (10), f.sub.scale=2.0/cos(.PHI.').
[0032] In some implementations, the approximate standard deviation
value can be placed in the following accuracy level "buckets":
If val<Best, then accuracy=10.degree.; (11)
If val<Level5, then accuracy=15.degree.;
If val<Level4, then accuracy=20.degree.;
If val<Level3, then accuracy=25.degree.;
If val<Level2, then accuracy=30.degree.;
If val<Level1, then accuracy=35.degree.; and
If val<Worst, then accuracy=40.degree..
[0033] Some exemplary accuracy levels for delineating the "buckets"
can be: Best=15, Level1=90, Level2=75, Level3=60, Level4=45.
Level5=30 and Worst=100.
[0034] The "accuracy" metric resulting from equations (11) can be
used to generate an accuracy indicator for presentation on the
mobile device (310). For example, a user interface displayed on the
mobile device can present a graphical indicator that describes the
accuracy of the magnetometer. An exemplary accuracy indicator is
the heading error indicator described in reference to FIGS. 5A and
5B.
[0035] The accuracy calculation described above can be represented
with the following pseudocode.
TABLE-US-00001 // the compass accuracy class is instantiated with
the following geomagnetic information and parameters // 10 and 30
are buffer sizes selected for this example // geomagneticModel, is
an instance of the model that calculates all the static truth
geomagnetic information for the location of the device
init(geomagneticModel.inclination,(2.0f/cos(CLCommonDegreesToRadians(geoma-
gneticModel.inclination))),10,30) // within the accuracy component
there is a function to handle the addition of calculated
inclination values from the chip // raw magnetic data is read and
the inclination is then calculated... then passed here void
accuracy::addSample(float sample){ // calculate the variance of the
sample from the model float varSam = sample -
geomagneticModel.inclination; varSam*=varSam; // add the samples to
two running instances fVariance.addSample(varSam); // this keeps a
running average of 10 samples
fMaxQueue.addSample(fVariance.getValue( )); // this keeps the
running maximum value of 30 samples } // when the heading is ready
to be reported outside of this class, the accuracy value is
collected from here float accuracy::getAccuracy( ) { float accuracy
= 40.0f; // default to the worst accuracy value // compute the
relative accuracy and scale appropriately // value = (
max{circumflex over ( )}2 / average{circumflex over ( )}2 ) * scale
float val = (sqrt(fMaxQueue.getValue( ))/sqrt(fVariance.getSize(
))*fScale); // bucket the value by our accuracy settings if (val
< kCompassAccuracyBest) { accuracy = 10.0f; } else if (val <
kCompassAccuracyLevel5) { accuracy = 15.0f; } else if (val <
kCompassAccuracyLevel4) { accuracy = 20.0f; } else if (val <
kCompassAccuracyLevel3) { accuracy = 25.0f; } else if (val <
kCompassAccuracyLevel2) { accuracy = 30.0f; } else if (val <
kCompassAccuracyLevel1) { accuracy = 35.0f; } else if (val <
kCompassAccuracyWorst) { accuracy = 40.0f; } // return the accuracy
value to be reported to the user return accuracy; }
Example Mobile Device Architecture
[0036] FIG. 4 is a block diagram of exemplary architecture 400 of a
mobile device including a magnetometer. The mobile device 100 can
include memory interface 402, one or more data processors, image
processors and/or central processing units 404, and peripherals
interface 406. Memory interface 402, one or more processors 404
and/or peripherals interface 406 can be separate components or can
be integrated in one or more integrated circuits. Various
components in mobile device architecture 400 can be coupled
together by one or more communication buses or signal lines.
[0037] Sensors, devices, and subsystems can be coupled to
peripherals interface 406 to facilitate multiple functionalities.
For example, motion sensor 410, light sensor 412, and proximity
sensor 414 can be coupled to peripherals interface 406 to
facilitate orientation, lighting, and proximity functions of the
mobile device. Location processor 415 (e.g., GPS receiver) can be
connected to peripherals interface 406 to provide geopositioning.
Magnetometer 416 (e.g., an integrated circuit chip) can also be
connected to peripherals interface 406 to provide data that can be
used to determine the direction of magnetic North.
[0038] Camera subsystem 420 and Optical sensor 422, e.g., a charged
coupled device (CCD) or a complementary metal-oxide semiconductor
(CMOS) optical sensor, can be utilized to facilitate camera
functions, such as recording photographs and video clips.
[0039] Communication functions can be facilitated through one or
more wireless communication subsystems 424, which can include radio
frequency receivers and transmitters and/or optical (e.g.,
infrared) receivers and transmitters. The specific design and
implementation of communication subsystem 424 can depend on the
communication network(s) over which the mobile device is intended
to operate. For example, the mobile device may include
communication subsystems 424 designed to operate over a GSM
network, a GPRS network, an EDGE network, a Wi-Fi or WiMax network,
and a Bluetooth.TM. network. In particular, wireless communication
subsystems 424 may include hosting protocols such that the mobile
device may be configured as a base station for other wireless
devices.
[0040] Audio subsystem 426 can be coupled to speaker 428 and
microphone 430 to facilitate voice-enabled functions, such as voice
recognition, voice replication, digital recording, and telephony
functions. Note that speaker 428 could introduce magnetic
interference to the magnetometer, as described in reference to
FIGS. 1-2.
[0041] I/O subsystem 440 can include touch screen controller 442
and/or other input controller(s) 444. Touch-screen controller 442
can be coupled to touch screen 446. Touch screen 446 and touch
screen controller 442 can, for example, detect contact and movement
or break thereof using any of a plurality of touch sensitivity
technologies, including but not limited to capacitive, resistive,
infrared, and surface acoustic wave technologies, as well as other
proximity sensor arrays or other elements for determining one or
more points of contact with touch screen 446.
[0042] Other input controller(s) 444 can be coupled to other
input/control devices 448, such as one or more buttons, rocker
switches, thumb-wheel, infrared port, USB port, docking station
and/or a pointer device such as a stylus. The one or more buttons
(not shown) can include an up/down button for volume control of
speaker 428 and/or microphone 430.
[0043] In one implementation, a pressing of the button for a first
duration may disengage a lock of touch screen 446; and a pressing
of the button for a second duration that is longer than the first
duration may turn power to the mobile device on or off. The user
may be able to customize a functionality of one or more of the
buttons. Touch screen 446 can, for example, also be used to
implement virtual or soft buttons and/or a keyboard.
[0044] In some implementations, the mobile device can present
recorded audio and/or video files, such as MP3, AAC, and MPEG
files. In some implementations, the mobile device can include the
functionality of an MP3 player, such as an iPod Touch.TM..
[0045] Memory interface 402 can be coupled to memory 450. Memory
450 can include high-speed random access memory and/or non-volatile
memory, such as one or more magnetic disk storage devices, one or
more optical storage devices, and/or flash memory (e.g., NAND,
NOR). Memory 450 can store operating system 452, such as Darwin,
RTXC, LINUX, UNIX, OS X, WINDOWS, or an embedded operating system
such as VxWorks. Operating system 452 may include instructions for
handling basic system services and for performing hardware
dependent tasks. In some implementations, operating system 452 can
be a kernel (e.g., UNIX kernel).
[0046] Memory 450 may also store communication instructions 454 to
facilitate communicating with one or more additional devices, one
or more computers and/or one or more servers. Memory 450 may
include graphical user interface instructions 456 to facilitate
graphic user interface processing; sensor processing instructions
458 to facilitate sensor-related processing and functions; phone
instructions 460 to facilitate phone-related processes and
functions; electronic messaging instructions 462 to facilitate
electronic-messaging related processes and functions; web browsing
instructions 464 to facilitate web browsing-related processes and
functions; media processing instructions 466 to facilitate media
processing-related processes and functions; GPS/Navigation
instructions 468 to facilitate GPS and navigation-related processes
and instructions; camera instructions 470 to facilitate
camera-related processes and functions; accuracy data 472 and
accuracy calculation instructions 474 to facilitate magnetometer
calibration, as described in reference to FIG. 2. In some
implementations, GUI instructions 456 and/or media processing
instructions 466 implement the features and operations described in
reference to FIGS. 1-4.
[0047] Memory 450 may also store other software instructions (not
shown), such as web video instructions to facilitate web
video-related processes and functions; and/or web shopping
instructions to facilitate web shopping-related processes and
functions. In some implementations, media processing instructions
466 are divided into audio processing instructions and video
processing instructions to facilitate audio processing-related
processes and functions and video processing-related processes and
functions, respectively. An activation record and International
Mobile Equipment Identity (IMEI) or similar hardware identifier can
also be stored in memory 450.
[0048] Each of the above identified instructions and applications
can correspond to a set of instructions for performing one or more
functions described above. These instructions need not be
implemented as separate software programs, procedures, or modules.
Memory 450 can include additional instructions or fewer
instructions. Furthermore, various functions of the mobile device
may be implemented in hardware and/or in software, including in one
or more signal processing and/or application specific integrated
circuits.
Example Error Indicators
[0049] FIGS. 5A-5B are screenshots of a map user interface of a
mobile device having a magnetometer, including a heading error
indicator in accordance with some implementations. Referring to
FIG. 5A, user interface 510 displays a portion of a map including
heading error indicator 516. Marker 514 shows the location of the
mobile device on the map. Position error indicator 512 surrounds
marker 514 and indicates the position accuracy of the of the mobile
device. The actual location of the mobile device is somewhere
within indicator 512. Heading error indicator 516 indicates heading
error. The actual heading is somewhere within the angle
.delta.1.
[0050] Referring to FIG. 5B, heading error indicator 516 displayed
in user interface 510 is indicating a larger heading error than
displayed in FIG. 5B. That is the actual heading is somewhere
within the angle .delta.2, where .delta.1<.delta.2. The accuracy
metric computed in equations (11) can be presented in other
graphical forms or as test. In some implementations, an audio
output (e.g., synthesized speech, beep) can be presented to the
user.
[0051] The disclosed and other embodiments and the functional
operations described in this specification can be implemented in
digital electronic circuitry, or in computer software, firmware, or
hardware, including the structures disclosed in this specification
and their structural equivalents, or in combinations of one or more
of them. The disclosed and other embodiments can be implemented as
one or more computer program products, i.e., one or more modules of
computer program instructions encoded on a computer-readable medium
for execution by, or to control the operation of, data processing
apparatus. The computer-readable medium can be a machine-readable
storage device, a machine-readable storage substrate, a memory
device, or a combination of one or more them. The term "data
processing apparatus" encompasses all apparatus, devices, and
machines for processing data, including by way of example a
programmable processor, a computer, or multiple processors or
computers. The apparatus can include, in addition to hardware, code
that creates an execution environment for the computer program in
question, e.g., code that constitutes processor firmware, a
protocol stack, a database management system, an operating system,
or a combination of one or more of them.
[0052] A computer program (also known as a program, software,
software application, script, or code) can be written in any form
of programming language, including compiled or interpreted
languages, and it can be deployed in any form, including as a
stand-alone program or as a module, component, subroutine, or other
unit suitable for use in a computing environment. A computer
program does not necessarily correspond to a file in a file system.
A program can be stored in a portion of a file that holds other
programs or data (e.g., one or more scripts stored in a markup
language document), in a single file dedicated to the program in
question, or in multiple coordinated files (e.g., files that store
one or more modules, sub-programs, or portions of code). A computer
program can be deployed to be executed on one computer or on
multiple computers that are located at one site or distributed
across multiple sites and interconnected by a communication
network.
[0053] The processes and logic flows described in this
specification can be performed by one or more programmable
processors executing one or more computer programs to perform
functions by operating on input data and generating output. The
processes and logic flows can also be performed by, and apparatus
can also be implemented as, special purpose logic circuitry, e.g.,
an FPGA (field programmable gate array) or an ASIC
(application-specific integrated circuit).
[0054] Processors suitable for the execution of a computer program
include, by way of example, both general and special purpose
microprocessors, and any one or more processors of any kind of
digital computer. Generally, a processor will receive instructions
and data from a read-only memory or a random access memory or both.
The essential elements of a computer are a processor for performing
instructions and one or more memory devices for storing
instructions and data. Generally, a computer will also include, or
be operatively coupled to receive data from or transfer data to, or
both, one or more mass storage devices for storing data, e.g.,
magnetic, magneto-optical disks, or optical disks. However, a
computer need not have such devices. Computer-readable media
suitable for storing computer program instructions and data include
all forms of non-volatile memory, media and memory devices,
including by way of example semiconductor memory devices, e.g.,
EPROM, EEPROM, and flash memory devices; magnetic disks, e.g.,
internal hard disks or removable disks; magneto-optical disks; and
CD-ROM and DVD-ROM disks. The processor and the memory can be
supplemented by, or incorporated in, special purpose logic
circuitry.
[0055] To provide for interaction with a user, the disclosed
embodiments can be implemented on a computer having a display
device, e.g., a CRT (cathode ray tube) or LCD (liquid crystal
display) monitor, for displaying information to the user and a
keyboard and a pointing device, e.g., a mouse or a trackball, by
which the user can provide input to the computer. Other kinds of
devices can be used to provide for interaction with a user as well;
for example, feedback provided to the user can be any form of
sensory feedback, e.g., visual feedback, auditory feedback, or
tactile feedback; and input from the user can be received in any
form, including acoustic, speech, or tactile input.
[0056] The disclosed embodiments can be implemented in a computing
system that includes a back-end component, e.g., as a data server,
or that includes a middleware component, e.g., an application
server, or that includes a front-end component, e.g., a client
computer having a graphical user interface or a Web browser through
which a user can interact with an implementation of what is
disclosed here, or any combination of one or more such back-end,
middleware, or front-end components. The components of the system
can be interconnected by any form or medium of digital data
communication, e.g., a communication network. Examples of
communication networks include a local area network ("LAN") and a
wide area network ("WAN"), e.g., the Internet.
[0057] While this specification contains many specifics, these
should not be construed as limitations on the scope of what being
claims or of what may be claimed, but rather as descriptions of
features specific to particular embodiments. Certain features that
are described in this specification in the context of separate
embodiments can also be implemented in combination in a single
embodiment. Conversely, various features that are described in the
context of a single embodiment can also be implemented in multiple
embodiments separately or in any suitable subcombination. Moreover,
although features may be described above as acting in certain
combinations and even initially claimed as such, one or more
features from a claimed combination can in some cases be excised
from the combination, and the claimed combination may be directed
to a subcombination or variation of a subcombination.
[0058] Similarly, while operations are depicted in the drawings in
a particular order, this should not be understand as requiring that
such operations be performed in the particular order shown or in
sequential order, or that all illustrated operations be performed,
to achieve desirable results. In certain circumstances,
multitasking and parallel processing may be advantageous. Moreover,
the separation of various system components in the embodiments
described above should not be understood as requiring such
separation in all embodiments, and it should be understood that the
described program components and systems can generally be
integrated together in a single software product or packaged into
multiple software products.
[0059] Particular embodiments of the subject matter described in
this specification have been described. Other embodiments are
within the scope of the following claims. For example, the actions
recited in the claims can be performed in a different order and
still achieve desirable results. As one example, the processes
depicted in the accompanying figures do not necessarily require the
particular order shown, or sequential order, to achieve desirable
results. In certain implementations, multitasking and parallel
processing may be advantageous.
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