SensorEvent
  public
  
  
  
  class
  SensorEvent
  
    extends Object
  
  
  
  
  
  
| java.lang.Object | |
| ↳ | android.hardware.SensorEvent | 
This class represents a Sensor event and
 holds information such as the sensor's type, the time-stamp, accuracy and of
 course the sensor's data.
 
Definition of the coordinate system used by the SensorEvent API.
The coordinate-system is defined relative to the screen of the phone in its default orientation. The axes are not swapped when the device's screen orientation changes.
The X axis is horizontal and points to the right, the Y axis is vertical and points up and the Z axis points towards the outside of the front face of the screen. In this system, coordinates behind the screen have negative Z values.

Note: This coordinate system is different from the one used in the Android 2D APIs where the origin is in the top-left corner.
See also:
Summary
| Fields | |
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    public
    
    
    int | accuracyThe accuracy of this event. | 
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    public
    
    
    boolean | firstEventAfterDiscontinuitySet to true when this is the first sensor event after a discontinuity. | 
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    public
    
    
    Sensor | sensorThe sensor that generated this event. | 
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    public
    
    
    long | timestampThe time in nanoseconds at which the event happened. | 
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    public
    
    final
    float[] | values
 The length and contents of the  | 
| Inherited methods | |
|---|---|
Fields
accuracy
public int accuracy
The accuracy of this event. See SensorManager for details.
firstEventAfterDiscontinuity
public boolean firstEventAfterDiscontinuity
Set to true when this is the first sensor event after a discontinuity.
 The exact meaning of discontinuity depends on the sensor type. For
 Sensor.TYPE_HEAD_TRACKER, this means that
 the reference frame has suddenly and significantly changed, for example if the head tracking
 device was removed then put back.
 Note that this concept is either not relevant to or not supported by most sensor types,
 Sensor.TYPE_HEAD_TRACKER being the notable
 exception.
sensor
public Sensor sensor
The sensor that generated this event. See
 SensorManager for details.
timestamp
public long timestamp
The time in nanoseconds at which the event happened. For a given sensor,
 each new sensor event should be monotonically increasing using the same
 time base as SystemClock.elapsedRealtimeNanos().
values
public final float[] values
 The length and contents of the values array depends on
 which sensor type is being monitored (see
 also SensorEvent for a definition of the coordinate system used).
 
Sensor.TYPE_ACCELEROMETER:
 All values are in SI units (m/s^2)
 - values[0]: Acceleration minus Gx on the x-axis
- values[1]: Acceleration minus Gy on the y-axis
- values[2]: Acceleration minus Gz on the z-axis
A sensor of this type measures the acceleration applied to the device (Ad). Conceptually, it does so by measuring forces applied to the sensor itself (Fs) using the relation:
In particular, the force of gravity is always influencing the measured acceleration:
For this reason, when the device is sitting on a table (and obviously not accelerating), the accelerometer reads a magnitude of g = 9.81 m/s^2
Similarly, when the device is in free-fall and therefore dangerously accelerating towards to ground at 9.81 m/s^2, its accelerometer reads a magnitude of 0 m/s^2.
It should be apparent that in order to measure the real acceleration of the device, the contribution of the force of gravity must be eliminated. This can be achieved by applying a high-pass filter. Conversely, a low-pass filter can be used to isolate the force of gravity.
public void onSensorChanged(SensorEvent event) { // alpha is calculated as t / (t + dT) // with t, the low-pass filter's time-constant // and dT, the event delivery rate final float alpha = 0.8; gravity[0] = alpha * gravity[0] + (1 - alpha) * event.values[0]; gravity[1] = alpha * gravity[1] + (1 - alpha) * event.values[1]; gravity[2] = alpha * gravity[2] + (1 - alpha) * event.values[2]; linear_acceleration[0] = event.values[0] - gravity[0]; linear_acceleration[1] = event.values[1] - gravity[1]; linear_acceleration[2] = event.values[2] - gravity[2]; }
Examples:
- When the device lies flat on a table and is pushed on its left side toward the right, the x acceleration value is positive.
- When the device lies flat on a table, the acceleration value is +9.81, which correspond to the acceleration of the device (0 m/s^2) minus the force of gravity (-9.81 m/s^2).
- When the device lies flat on a table and is pushed toward the sky with an acceleration of A m/s^2, the acceleration value is equal to A+9.81 which correspond to the acceleration of the device (+A m/s^2) minus the force of gravity (-9.81 m/s^2).
Sensor.TYPE_MAGNETIC_FIELD:
 All values are in micro-Tesla (uT) and measure the ambient magnetic field
 in the X, Y and Z axis.
 Sensor.TYPE_GYROSCOPE:
 
 All values are in radians/second and measure the rate of rotation
 around the device's local X, Y and Z axis. The coordinate system is the
 same as is used for the acceleration sensor. Rotation is positive in the
 counter-clockwise direction. That is, an observer looking from some
 positive location on the x, y or z axis at a device positioned on the
 origin would report positive rotation if the device appeared to be
 rotating counter clockwise. Note that this is the standard mathematical
 definition of positive rotation and does not agree with the definition of
 roll given earlier.
 - values[0]: Angular speed around the x-axis
- values[1]: Angular speed around the y-axis
- values[2]: Angular speed around the z-axis
Typically the output of the gyroscope is integrated over time to calculate a rotation describing the change of angles over the time step, for example:
     private static final float NS2S = 1.0f / 1000000000.0f;
     private final float[] deltaRotationVector = new float[4]();
     private float timestamp;
     public void onSensorChanged(SensorEvent event) {
          // This time step's delta rotation to be multiplied by the current rotation
          // after computing it from the gyro sample data.
          if (timestamp != 0) {
              final float dT = (event.timestamp - timestamp) * NS2S;
              // Axis of the rotation sample, not normalized yet.
              float axisX = event.values[0];
              float axisY = event.values[1];
              float axisZ = event.values[2];
              // Calculate the angular speed of the sample
              float omegaMagnitude = sqrt(axisX*axisX + axisY*axisY + axisZ*axisZ);
              // Normalize the rotation vector if it's big enough to get the axis
              if (omegaMagnitude > EPSILON) {
                  axisX /= omegaMagnitude;
                  axisY /= omegaMagnitude;
                  axisZ /= omegaMagnitude;
              }
              // Integrate around this axis with the angular speed by the time step
              // in order to get a delta rotation from this sample over the time step
              // We will convert this axis-angle representation of the delta rotation
              // into a quaternion before turning it into the rotation matrix.
              float thetaOverTwo = omegaMagnitude * dT / 2.0f;
              float sinThetaOverTwo = sin(thetaOverTwo);
              float cosThetaOverTwo = cos(thetaOverTwo);
              deltaRotationVector[0] = sinThetaOverTwo * axisX;
              deltaRotationVector[1] = sinThetaOverTwo * axisY;
              deltaRotationVector[2] = sinThetaOverTwo * axisZ;
              deltaRotationVector[3] = cosThetaOverTwo;
          }
          timestamp = event.timestamp;
          float[] deltaRotationMatrix = new float[9];
          SensorManager.getRotationMatrixFromVector(deltaRotationMatrix, deltaRotationVector);
          // User code should concatenate the delta rotation we computed with the current
          // rotation in order to get the updated rotation.
          // rotationCurrent = rotationCurrent * deltaRotationMatrix;
     }
 In practice, the gyroscope noise and offset will introduce some errors which need to be compensated for. This is usually done using the information from other sensors, but is beyond the scope of this document.
Sensor.TYPE_LIGHT:
 - values[0]: Ambient light level in SI lux units
Sensor.TYPE_PRESSURE:
 - values[0]: Atmospheric pressure in hPa (millibar)
Sensor.TYPE_PROXIMITY:
 
 - values[0]: Proximity sensor distance measured in centimeters
 Note: Some proximity sensors only support a binary near or
 far measurement. In this case, the sensor should report its
 maximum range value in
 the far state and a lesser value in the near state.
 
Sensor.TYPE_GRAVITY:
  A three dimensional vector indicating the direction and magnitude of gravity. Units are m/s^2. The coordinate system is the same as is used by the acceleration sensor.
Note: When the device is at rest, the output of the gravity sensor should be identical to that of the accelerometer.
  Sensor.TYPE_LINEAR_ACCELERATION:
  
 A three dimensional vector indicating acceleration along each device axis, not
  including gravity. All values have units of m/s^2.  The coordinate system is the same as is
  used by the acceleration sensor.
  The output of the accelerometer, gravity and linear-acceleration sensors must obey the following relation:
- acceleration = gravity + linear-acceleration
Sensor.TYPE_ROTATION_VECTOR:
  The rotation vector represents the orientation of the device as a combination of an angle and an axis, in which the device has rotated through an angle θ around an axis <x, y, z>.
The three elements of the rotation vector are <x*sin(θ/2), y*sin(θ/2), z*sin(θ/2)>, such that the magnitude of the rotation vector is equal to sin(θ/2), and the direction of the rotation vector is equal to the direction of the axis of rotation.
The three elements of the rotation vector are equal to the last three components of a unit quaternion <cos(θ/2), x*sin(θ/2), y*sin(θ/2), z*sin(θ/2)>.Elements of the rotation vector are unitless. The x,y, and z axis are defined in the same way as the acceleration sensor.
The reference coordinate system is defined as a direct orthonormal basis, where:- X is defined as the vector product Y.Z (It is tangential to the ground at the device's current location and roughly points East).
- Y is tangential to the ground at the device's current location and points towards magnetic north.
- Z points towards the sky and is perpendicular to the ground.

- values[0]: x*sin(θ/2)
- values[1]: y*sin(θ/2)
- values[2]: z*sin(θ/2)
- values[3]: cos(θ/2)
- values[4]: estimated heading Accuracy (in radians) (-1 if unavailable)
values[3], originally optional, will always be present from SDK Level 18 onwards. values[4] is a new value that has been added in SDK Level 18.
Sensor.TYPE_ORIENTATION:
 All values are angles in degrees.
 -  values[0]: Azimuth, angle between the magnetic north direction and the
 y-axis, around the z-axis (0 to 359). 0=North, 90=East, 180=South,
 270=West
 
 values[1]: Pitch, rotation around x-axis (-180 to 180), with positive values when the z-axis moves toward the y-axis. values[2]: Roll, rotation around the y-axis (-90 to 90) increasing as the device moves clockwise. 
Note: This definition is different from yaw, pitch and roll used in aviation where the X axis is along the long side of the plane (tail to nose).
 Note: This sensor type exists for legacy reasons, please use
 rotation vector sensor type and
 getRotationMatrix() in conjunction with
 remapCoordinateSystem() and
 getOrientation() to
 compute these values instead.
 
Important note: For historical reasons the roll angle is positive in the clockwise direction (mathematically speaking, it should be positive in the counter-clockwise direction).
Sensor.TYPE_RELATIVE_HUMIDITY:
 - values[0]: Relative ambient air humidity in percent
When relative ambient air humidity and ambient temperature are measured, the dew point and absolute humidity can be calculated.
Dew PointThe dew point is the temperature to which a given parcel of air must be cooled, at constant barometric pressure, for water vapor to condense into water.
                    ln(RH/100%) + m·t/(Tn+t)
 td(t,RH) = Tn · ------------------------------
                 m - [ln(RH/100%) + m·t/(Tn+t)]
 - td
- dew point temperature in °C
- t
- actual temperature in °C
- RH
- actual relative humidity in %
- m
- 17.62
- Tn
- 243.12 °C
for example:
h = Math.log(rh / 100.0) + (17.62 * t) / (243.12 + t); td = 243.12 * h / (17.62 - h);
The absolute humidity is the mass of water vapor in a particular volume of dry air. The unit is g/m3.
                    RH/100%·A·exp(m·t/(Tn+t))
 dv(t,RH) = 216.7 · -------------------------
                           273.15 + t
 - dv
- absolute humidity in g/m3
- t
- actual temperature in °C
- RH
- actual relative humidity in %
- m
- 17.62
- Tn
- 243.12 °C
- A
- 6.112 hPa
for example:
dv = 216.7 * (rh / 100.0 * 6.112 * Math.exp(17.62 * t / (243.12 + t)) / (273.15 + t));
Sensor.TYPE_AMBIENT_TEMPERATURE:
 
 - values[0]: Ambient (room) temperature in degrees Celsius
Sensor.TYPE_MAGNETIC_FIELD_UNCALIBRATED:
 Similar to Sensor.TYPE_MAGNETIC_FIELD,
 but the hard iron calibration is reported separately instead of being included
 in the measurement. Factory calibration and temperature compensation will still
 be applied to the "uncalibrated" measurement. Assumptions that the magnetic field
 is due to the Earth's poles is avoided.
 The values array is shown below:
- values[0] = x_uncalib
- values[1] = y_uncalib
- values[2] = z_uncalib
- values[3] = x_bias
- values[4] = y_bias
- values[5] = z_bias
x_uncalib, y_uncalib, z_uncalib are the measured magnetic field in X, Y, Z axes. Soft iron and temperature calibrations are applied. But the hard iron calibration is not applied. The values are in micro-Tesla (uT).
x_bias, y_bias, z_bias give the iron bias estimated in X, Y, Z axes. Each field is a component of the estimated hard iron calibration. The values are in micro-Tesla (uT).
Hard iron - These distortions arise due to the magnetized iron, steel or permanent magnets on the device. Soft iron - These distortions arise due to the interaction with the earth's magnetic field.
 Sensor.TYPE_GAME_ROTATION_VECTOR:
 Identical to Sensor.TYPE_ROTATION_VECTOR except that it
 doesn't use the geomagnetic field. Therefore the Y axis doesn't
 point north, but instead to some other reference, that reference is
 allowed to drift by the same order of magnitude as the gyroscope
 drift around the Z axis.
 
 In the ideal case, a phone rotated and returning to the same real-world
 orientation will report the same game rotation vector
 (without using the earth's geomagnetic field). However, the orientation
 may drift somewhat over time. See Sensor.TYPE_ROTATION_VECTOR
 for a detailed description of the values. This sensor will not have
 the estimated heading accuracy value.
 
 Sensor.TYPE_GYROSCOPE_UNCALIBRATED:
 All values are in radians/second and measure the rate of rotation
 around the X, Y and Z axis. An estimation of the drift on each axis is
 reported as well.
 No gyro-drift compensation is performed. Factory calibration and temperature compensation is still applied to the rate of rotation (angular speeds).
 The coordinate system is the same as is used for the
 Sensor.TYPE_ACCELEROMETER
 Rotation is positive in the counter-clockwise direction (right-hand rule).
 That is, an observer looking from some positive location on the x, y or z axis
 at a device positioned on the origin would report positive rotation if the device
 appeared to be rotating counter clockwise.
 The range would at least be 17.45 rad/s (ie: ~1000 deg/s).
 
- values[0] : angular speed (w/o drift compensation) around the X axis in rad/s
- values[1] : angular speed (w/o drift compensation) around the Y axis in rad/s
- values[2] : angular speed (w/o drift compensation) around the Z axis in rad/s
- values[3] : estimated drift around X axis in rad/s
- values[4] : estimated drift around Y axis in rad/s
- values[5] : estimated drift around Z axis in rad/s
Pro Tip: Always use the length of the values array while performing operations on it. In earlier versions, this used to be always 3 which has changed now.
Sensor.TYPE_POSE_6DOF:
 A TYPE_POSE_6DOF event consists of a rotation expressed as a quaternion and a translation
 expressed in SI units. The event also contains a delta rotation and translation that show
 how the device?s pose has changed since the previous sequence numbered pose.
 The event uses the cannonical Android Sensor axes.
 - values[0]: x*sin(θ/2)
- values[1]: y*sin(θ/2)
- values[2]: z*sin(θ/2)
- values[3]: cos(θ/2)
- values[4]: Translation along x axis from an arbitrary origin.
- values[5]: Translation along y axis from an arbitrary origin.
- values[6]: Translation along z axis from an arbitrary origin.
- values[7]: Delta quaternion rotation x*sin(θ/2)
- values[8]: Delta quaternion rotation y*sin(θ/2)
- values[9]: Delta quaternion rotation z*sin(θ/2)
- values[10]: Delta quaternion rotation cos(θ/2)
- values[11]: Delta translation along x axis.
- values[12]: Delta translation along y axis.
- values[13]: Delta translation along z axis.
- values[14]: Sequence number
Sensor.TYPE_STATIONARY_DETECT:
 A TYPE_STATIONARY_DETECT event is produced if the device has been
 stationary for at least 5 seconds with a maximal latency of 5
 additional seconds. ie: it may take up anywhere from 5 to 10 seconds
 afte the device has been at rest to trigger this event.
 The only allowed value is 1.0.
 - values[0]: 1.0
Sensor.TYPE_MOTION_DETECT:
 A TYPE_MOTION_DETECT event is produced if the device has been in
 motion  for at least 5 seconds with a maximal latency of 5
 additional seconds. ie: it may take up anywhere from 5 to 10 seconds
 afte the device has been at rest to trigger this event.
 The only allowed value is 1.0.
 - values[0]: 1.0
Sensor.TYPE_STEP_COUNTER:
 - values[0]: Number of steps taken by the user since the last reboot while the sensor is activated
Sensor.TYPE_STEP_DETECTOR:
 - values[0]: Always set to 1.0, representing a single step detected event
Sensor.TYPE_HEART_BEAT:
 A sensor of this type returns an event everytime a heart beat peak is
 detected.
 Peak here ideally corresponds to the positive peak in the QRS complex of
 an ECG signal.
 - values[0]: confidence
A confidence value of 0.0 indicates complete uncertainty - that a peak is as likely to be at the indicated timestamp as anywhere else. A confidence value of 1.0 indicates complete certainly - that a peak is completely unlikely to be anywhere else on the QRS complex.
Sensor.TYPE_LOW_LATENCY_OFFBODY_DETECT:
 A sensor of this type returns an event every time the device transitions from off-body to on-body and from on-body to off-body (e.g. a wearable device being removed from the wrist would trigger an event indicating an off-body transition). The event returned will contain a single value to indicate off-body state:
- values[0]: off-body state
Valid values for off-body state:
- 1.0 (device is on-body)
- 0.0 (device is off-body)
When a sensor of this type is activated, it must deliver the initial on-body or off-body event representing the current device state within 5 seconds of activating the sensor.
This sensor must be able to detect and report an on-body to off-body transition within 3 seconds of the device being removed from the body, and must be able to detect and report an off-body to on-body transition within 5 seconds of the device being put back onto the body.
Sensor.TYPE_ACCELEROMETER_UNCALIBRATED:
 All values are in SI
 units (m/s^2)
 Similar to Sensor.TYPE_ACCELEROMETER,
 Factory calibration and temperature compensation will still be applied
 to the "uncalibrated" measurement.
 The values array is shown below:
- values[0] = x_uncalib without bias compensation
- values[1] = y_uncalib without bias compensation
- values[2] = z_uncalib without bias compensation
- values[3] = estimated x_bias
- values[4] = estimated y_bias
- values[5] = estimated z_bias
 x_uncalib, y_uncalib, z_uncalib are the measured acceleration in X, Y, Z
 axes similar to the  Sensor.TYPE_ACCELEROMETER,
 without any bias correction (factory bias compensation and any
 temperature compensation is allowed).
 x_bias, y_bias, z_bias are the estimated biases.
 
Sensor.TYPE_HINGE_ANGLE:
 A sensor of this type measures the angle, in degrees, between two integral parts of the
 device. Movement of a hinge measured by this sensor type is expected to alter the ways in
 which the user may interact with the device, for example by unfolding or revealing a display.
 - values[0]: Measured hinge angle between 0 and 360 degrees inclusive
Sensor.TYPE_HEAD_TRACKER:
 A sensor of this type measures the orientation of a user's head relative to an arbitrary
 reference frame, as well as the rate of rotation.
 Events produced by this sensor follow a special head-centric coordinate frame, where:
 - The X axis crosses through the user's ears, with the positive X direction extending out of the user's right ear
- The Y axis crosses from the back of the user's head through their nose, with the positive direction extending out of the nose, and the X/Y plane being nominally parallel to the ground when the user is upright and looking straight ahead
- The Z axis crosses from the neck through the top of the user's head, with the positive direction extending out from the top of the head
- values[0] : X component of Euler vector representing rotation
- values[1] : Y component of Euler vector representing rotation
- values[2] : Z component of Euler vector representing rotation
- values[3] : X component of Euler vector representing angular velocity (if supported, otherwise 0)
- values[4] : Y component of Euler vector representing angular velocity (if supported, otherwise 0)
- values[5] : Z component of Euler vector representing angular velocity (if supported, otherwise 0)
Sensor.TYPE_ACCELEROMETER_LIMITED_AXES:
 
 Equivalent to TYPE_ACCELEROMETER, but supporting cases where one
 or two axes are not supported.
 The last three values represent whether the acceleration value for a
 given axis is supported. A value of 1.0 indicates that the axis is
 supported, while a value of 0 means it isn't supported. The supported
 axes should be determined at build time and these values do not change
 during runtime.
 The acceleration values for axes that are not supported are set to 0.
 Similar to Sensor.TYPE_ACCELEROMETER.
 - values[0]: Acceleration minus Gx on the x-axis (if supported)
- values[1]: Acceleration minus Gy on the y-axis (if supported)
- values[2]: Acceleration minus Gz on the z-axis (if supported)
- values[3]: Acceleration supported for x-axis
- values[4]: Acceleration supported for y-axis
- values[5]: Acceleration supported for z-axis
Sensor.TYPE_GYROSCOPE_LIMITED_AXES:
 
 Equivalent to TYPE_GYROSCOPE, but supporting cases where one or two
 axes are not supported.
 The last three values represent whether the angular speed value for a
 given axis is supported. A value of 1.0 indicates that the axis is
 supported, while a value of 0 means it isn't supported. The supported
 axes should be determined at build time and these values do not change
 during runtime.
 The angular speed values for axes that are not supported are set to 0.
 Similar to Sensor.TYPE_GYROSCOPE.
 - values[0]: Angular speed around the x-axis (if supported)
- values[1]: Angular speed around the y-axis (if supported)
- values[2]: Angular speed around the z-axis (if supported)
- values[3]: Angular speed supported for x-axis
- values[4]: Angular speed supported for y-axis
- values[5]: Angular speed supported for z-axis
Sensor.TYPE_ACCELEROMETER_LIMITED_AXES_UNCALIBRATED:
 
 Equivalent to TYPE_ACCELEROMETER_UNCALIBRATED, but supporting cases
 where one or two axes are not supported.
 The last three values represent whether the acceleration value for a
 given axis is supported. A value of 1.0 indicates that the axis is
 supported, while a value of 0 means it isn't supported. The supported
 axes should be determined at build time and these values do not change
 during runtime.
 The acceleration values and bias values for axes that are not supported
 are set to 0.
 - values[0]: x_uncalib without bias compensation (if supported)
- values[1]: y_uncalib without bias compensation (if supported)
- values[2]: z_uncalib without bias compensation (if supported)
- values[3]: estimated x_bias (if supported)
- values[4]: estimated y_bias (if supported)
- values[5]: estimated z_bias (if supported)
- values[6]: Acceleration supported for x-axis
- values[7]: Acceleration supported for y-axis
- values[8]: Acceleration supported for z-axis
 Sensor.TYPE_GYROSCOPE_LIMITED_AXES_UNCALIBRATED:
 
 Equivalent to TYPE_GYROSCOPE_UNCALIBRATED, but supporting cases
 where one or two axes are not supported.
 The last three values represent whether the angular speed value for a
 given axis is supported. A value of 1.0 indicates that the axis is
 supported, while a value of 0 means it isn't supported. The supported
 axes should be determined at build time and these values do not change
 during runtime.
 The angular speed values and drift values for axes that are not supported
 are set to 0.
 - values[0]: Angular speed (w/o drift compensation) around the X axis (if supported)
- values[1]: Angular speed (w/o drift compensation) around the Y axis (if supported)
- values[2]: Angular speed (w/o drift compensation) around the Z axis (if supported)
- values[3]: estimated drift around X axis (if supported)
- values[4]: estimated drift around Y axis (if supported)
- values[5]: estimated drift around Z axis (if supported)
- values[6]: Angular speed supported for x-axis
- values[7]: Angular speed supported for y-axis
- values[8]: Angular speed supported for z-axis
Sensor.TYPE_HEADING:
 A sensor of this type measures the direction in which the device is
 pointing relative to true north in degrees. The value must be between
 0.0 (inclusive) and 360.0 (exclusive), with 0 indicating north, 90 east,
 180 south, and 270 west.
 Accuracy is defined at 68% confidence. In the case where the underlying
 distribution is assumed Gaussian normal, this would be considered one
 standard deviation. For example, if heading returns 60 degrees, and
 accuracy returns 10 degrees, then there is a 68 percent probability of
 the true heading being between 50 degrees and 70 degrees.
 - values[0]: Measured heading in degrees.
- values[1]: Heading accuracy in degrees.
See also:
