SensorEvent.Values Property

Reference

Definition

Namespace:: Android.Hardware

Assembly:: Mono.Android.dll

Important

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

The length and contents of the #values values array depends on which android.hardware.Sensor sensor type is being monitored (see also SensorEvent for a definition of the coordinate system used).

[Android.Runtime.Register("values")]
public System.Collections.Generic.IList<float>? Values { get; set; }

[<Android.Runtime.Register("values")>]
member this.Values : System.Collections.Generic.IList<single> with get, set

Property Value

IList<Single>

Attributes: RegisterAttribute

Remarks

<h4>android.hardware.Sensor#TYPE_ACCELEROMETER Sensor.TYPE_ACCELEROMETER:</h4> All values are in SI units (m/s^2)

<ul> <li> values[0]: Acceleration minus Gx on the x-axis </li> <li> values[1]: Acceleration minus Gy on the y-axis </li> <li> values[2]: Acceleration minus Gz on the z-axis </li> </ul>

A sensor of this type measures the acceleration applied to the device (<b>Ad</b>). Conceptually, it does so by measuring forces applied to the sensor itself (<b>Fs</b>) 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 <b>g</b> = 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];
                }

<u>Examples</u>: <ul> <li>When the device lies flat on a table and is pushed on its left side toward the right, the x acceleration value is positive.</li>

<li>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).</li>

<li>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).</li> </ul>

<h4>android.hardware.Sensor#TYPE_MAGNETIC_FIELD Sensor.TYPE_MAGNETIC_FIELD:</h4> All values are in micro-Tesla (uT) and measure the ambient magnetic field in the X, Y and Z axis.

<h4>android.hardware.Sensor#TYPE_GYROSCOPE Sensor.TYPE_GYROSCOPE: </h4> 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. <ul> <li> values[0]: Angular speed around the x-axis </li> <li> values[1]: Angular speed around the y-axis </li> <li> values[2]: Angular speed around the z-axis </li> </ul>

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.

<h4>android.hardware.Sensor#TYPE_LIGHT Sensor.TYPE_LIGHT:</h4> <ul> <li>values[0]: Ambient light level in SI lux units </li> </ul>

<h4>android.hardware.Sensor#TYPE_PRESSURE Sensor.TYPE_PRESSURE:</h4> <ul> <li>values[0]: Atmospheric pressure in hPa (millibar) </li> </ul>

<h4>android.hardware.Sensor#TYPE_PROXIMITY Sensor.TYPE_PROXIMITY: </h4>

<ul> <li>values[0]: Proximity sensor distance measured in centimeters </li> </ul>

<b>Note:</b> Some proximity sensors only support a binary near or far measurement. In this case, the sensor should report its android.hardware.Sensor#getMaximumRange() maximum range value in the far state and a lesser value in the near state.

<h4>android.hardware.Sensor#TYPE_GRAVITY Sensor.TYPE_GRAVITY:</h4>

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.

<b>Note:</b> When the device is at rest, the output of the gravity sensor should be identical to that of the accelerometer.

<h4> android.hardware.Sensor#TYPE_LINEAR_ACCELERATION Sensor.TYPE_LINEAR_ACCELERATION: </h4> 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:

<ul>acceleration = gravity + linear-acceleration</ul>

<h4>android.hardware.Sensor#TYPE_ROTATION_VECTOR Sensor.TYPE_ROTATION_VECTOR:</h4>

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 &#952 around an axis <x, y, z>.

The three elements of the rotation vector are <x*sin(&#952/2), y*sin(&#952/2), z*sin(&#952/2)>, such that the magnitude of the rotation vector is equal to sin(&#952/2), and the direction of the rotation vector is equal to the direction of the axis of rotation.

</p>The three elements of the rotation vector are equal to the last three components of a <b>unit</b> quaternion <cos(&#952/2), x*sin(&#952/2), y*sin(&#952/2), z*sin(&#952/2)>.</p>

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: </p>

<ul> <li>X is defined as the vector product <b>Y.Z</b> (It is tangential to the ground at the device's current location and roughly points East).</li> <li>Y is tangential to the ground at the device's current location and points towards magnetic north.</li> <li>Z points towards the sky and is perpendicular to the ground.</li> </ul>

<ul> <li> values[0]: x*sin(&#952/2) </li> <li> values[1]: y*sin(&#952/2) </li> <li> values[2]: z*sin(&#952/2) </li> <li> values[3]: cos(&#952/2) </li> <li> values[4]: estimated heading Accuracy (in radians) (-1 if unavailable)</li> </ul>

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.

<h4>android.hardware.Sensor#TYPE_ORIENTATION Sensor.TYPE_ORIENTATION:</h4> All values are angles in degrees.

<ul> <li> 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 </p>

values[1]: Pitch, rotation around x-axis (-180 to 180), with positive values when the z-axis moves <b>toward</b> the y-axis.

values[2]: Roll, rotation around the y-axis (-90 to 90) increasing as the device moves clockwise.

</ul>

<b>Note:</b> This definition is different from <b>yaw, pitch and roll</b> used in aviation where the X axis is along the long side of the plane (tail to nose).

<b>Note:</b> This sensor type exists for legacy reasons, please use android.hardware.Sensor#TYPE_ROTATION_VECTOR rotation vector sensor type and android.hardware.SensorManager#getRotationMatrix getRotationMatrix() in conjunction with android.hardware.SensorManager#remapCoordinateSystem remapCoordinateSystem() and android.hardware.SensorManager#getOrientation getOrientation() to compute these values instead.

<b>Important note:</b> For historical reasons the roll angle is positive in the clockwise direction (mathematically speaking, it should be positive in the counter-clockwise direction).

<h4>android.hardware.Sensor#TYPE_RELATIVE_HUMIDITY Sensor.TYPE_RELATIVE_HUMIDITY:</h4> <ul> <li> values[0]: Relative ambient air humidity in percent </li> </ul>

When relative ambient air humidity and ambient temperature are measured, the dew point and absolute humidity can be calculated.

<u>Dew Point</u>

The 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&#183;t/(T<sub>n</sub>+t)
            t<sub>d</sub>(t,RH) = T<sub>n</sub> &#183; ------------------------------
                            m - [ln(RH/100%) + m&#183;t/(T<sub>n</sub>+t)]

</center> <dl> <dt>t<sub>d</sub></dt> <dd>dew point temperature in °C</dd> <dt>t</dt> <dd>actual temperature in °C</dd> <dt>RH</dt> <dd>actual relative humidity in %</dd> <dt>m</dt> <dd>17.62</dd> <dt>T<sub>n</sub></dt> <dd>243.12 °C</dd> </dl>

for example:

h = Math.log(rh / 100.0) + (17.62 * t) / (243.12 + t);
            td = 243.12 * h / (17.62 - h);

<u>Absolute Humidity</u>

The absolute humidity is the mass of water vapor in a particular volume of dry air. The unit is g/m<sup>3</sup>.

RH/100%&#183;A&#183;exp(m&#183;t/(T<sub>n</sub>+t))
            d<sub>v</sub>(t,RH) = 216.7 &#183; -------------------------
                                      273.15 + t

</center> <dl> <dt>d<sub>v</sub></dt> <dd>absolute humidity in g/m<sup>3</sup></dd> <dt>t</dt> <dd>actual temperature in °C</dd> <dt>RH</dt> <dd>actual relative humidity in %</dd> <dt>m</dt> <dd>17.62</dd> <dt>T<sub>n</sub></dt> <dd>243.12 °C</dd> <dt>A</dt> <dd>6.112 hPa</dd> </dl>

for example:

dv = 216.7 *
            (rh / 100.0 * 6.112 * Math.exp(17.62 * t / (243.12 + t)) / (273.15 + t));

<h4>android.hardware.Sensor#TYPE_AMBIENT_TEMPERATURE Sensor.TYPE_AMBIENT_TEMPERATURE: </h4>

<ul> <li> values[0]: ambient (room) temperature in degree Celsius.</li> </ul>

<h4>android.hardware.Sensor#TYPE_MAGNETIC_FIELD_UNCALIBRATED Sensor.TYPE_MAGNETIC_FIELD_UNCALIBRATED:</h4> Similar to android.hardware.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: <ul> <li> values[0] = x_uncalib </li> <li> values[1] = y_uncalib </li> <li> values[2] = z_uncalib </li> <li> values[3] = x_bias </li> <li> values[4] = y_bias </li> <li> values[5] = z_bias </li> </ul>

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.

<h4> android.hardware.Sensor#TYPE_GAME_ROTATION_VECTOR Sensor.TYPE_GAME_ROTATION_VECTOR:</h4> Identical to android.hardware.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 android.hardware.Sensor#TYPE_ROTATION_VECTOR for a detailed description of the values. This sensor will not have the estimated heading accuracy value.

<h4> android.hardware.Sensor#TYPE_GYROSCOPE_UNCALIBRATED Sensor.TYPE_GYROSCOPE_UNCALIBRATED:</h4> 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 android.hardware.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). <ul> <li> values[0] : angular speed (w/o drift compensation) around the X axis in rad/s </li> <li> values[1] : angular speed (w/o drift compensation) around the Y axis in rad/s </li> <li> values[2] : angular speed (w/o drift compensation) around the Z axis in rad/s </li> <li> values[3] : estimated drift around X axis in rad/s </li> <li> values[4] : estimated drift around Y axis in rad/s </li> <li> values[5] : estimated drift around Z axis in rad/s </li> </ul>

<b>Pro Tip:</b> 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.

<h4>android.hardware.Sensor#TYPE_POSE_6DOF Sensor.TYPE_POSE_6DOF:</h4>

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.

<ul> <li> values[0]: x*sin(&#952/2) </li> <li> values[1]: y*sin(&#952/2) </li> <li> values[2]: z*sin(&#952/2) </li> <li> values[3]: cos(&#952/2) </li>

<li> values[4]: Translation along x axis from an arbitrary origin. </li> <li> values[5]: Translation along y axis from an arbitrary origin. </li> <li> values[6]: Translation along z axis from an arbitrary origin. </li>

<li> values[7]: Delta quaternion rotation x*sin(&#952/2) </li> <li> values[8]: Delta quaternion rotation y*sin(&#952/2) </li> <li> values[9]: Delta quaternion rotation z*sin(&#952/2) </li> <li> values[10]: Delta quaternion rotation cos(&#952/2) </li>

<li> values[11]: Delta translation along x axis. </li> <li> values[12]: Delta translation along y axis. </li> <li> values[13]: Delta translation along z axis. </li>

<li> values[14]: Sequence number </li>

</ul>

<h4>android.hardware.Sensor#TYPE_STATIONARY_DETECT Sensor.TYPE_STATIONARY_DETECT:</h4>

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.

<ul> <li> values[0]: 1.0 </li> </ul>

<h4>android.hardware.Sensor#TYPE_MOTION_DETECT Sensor.TYPE_MOTION_DETECT:</h4>

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.

<ul> <li> values[0]: 1.0 </li> </ul>

<h4>android.hardware.Sensor#TYPE_HEART_BEAT Sensor.TYPE_HEART_BEAT:</h4>

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.

<ul> <li> values[0]: confidence</li> </ul>

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.

<h4>android.hardware.Sensor#TYPE_LOW_LATENCY_OFFBODY_DETECT Sensor.TYPE_LOW_LATENCY_OFFBODY_DETECT:</h4>

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:

<ul> <li> values[0]: off-body state</li> </ul>

Valid values for off-body state: <ul> <li> 1.0 (device is on-body)</li> <li> 0.0 (device is off-body)</li> </ul>

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 1 second 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.

<h4>android.hardware.Sensor#TYPE_ACCELEROMETER_UNCALIBRATED Sensor.TYPE_ACCELEROMETER_UNCALIBRATED:</h4> All values are in SI units (m/s^2)

Similar to android.hardware.Sensor#TYPE_ACCELEROMETER, Factory calibration and temperature compensation will still be applied to the "uncalibrated" measurement.

The values array is shown below: <ul> <li> values[0] = x_uncalib without bias compensation </li> <li> values[1] = y_uncalib without bias compensation </li> <li> values[2] = z_uncalib without bias compensation </li> <li> values[3] = estimated x_bias </li> <li> values[4] = estimated y_bias </li> <li> values[5] = estimated z_bias </li> </ul>

x_uncalib, y_uncalib, z_uncalib are the measured acceleration in X, Y, Z axes similar to the android.hardware.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.

<h4>android.hardware.Sensor#TYPE_HINGE_ANGLE Sensor.TYPE_HINGE_ANGLE:</h4>

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.

<ul> <li> values[0]: Measured hinge angle between 0 and 360 degrees inclusive</li> </ul>

<h4>android.hardware.Sensor#TYPE_HEAD_TRACKER Sensor.TYPE_HEAD_TRACKER:</h4>

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: <ul> <li> The X axis crosses through the user's ears, with the positive X direction extending out of the user's right ear</li> <li> 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</li> <li> 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</li> </ul>

Data is provided in Euler vector representation, which is a vector whose direction indicates the axis of rotation and magnitude indicates the angle to rotate around that axis, in radians.

The first three elements provide the transform from the (arbitrary, possibly slowly drifting) reference frame to the head frame. The magnitude of this vector is in range [0, π] radians, while the value of individual axes is in range [-π, π]. The next three elements optionally provide the estimated rotational velocity of the user's head relative to itself, in radians per second. If a given sensor does not support determining velocity, these elements are set to 0.

<ul> <li> values[0] : X component of Euler vector representing rotation</li> <li> values[1] : Y component of Euler vector representing rotation</li> <li> values[2] : Z component of Euler vector representing rotation</li> <li> values[3] : X component of Euler vector representing angular velocity (if supported, otherwise 0)</li> <li> values[4] : Y component of Euler vector representing angular velocity (if supported, otherwise 0)</li> <li> values[5] : Z component of Euler vector representing angular velocity (if supported, otherwise 0)</li> </ul>

<h4>android.hardware.Sensor#TYPE_ACCELEROMETER_LIMITED_AXES Sensor.TYPE_ACCELEROMETER_LIMITED_AXES: </h4> 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 android.hardware.Sensor#TYPE_ACCELEROMETER.

<ul> <li> values[0]: Acceleration minus Gx on the x-axis (if supported)</li> <li> values[1]: Acceleration minus Gy on the y-axis (if supported)</li> <li> values[2]: Acceleration minus Gz on the z-axis (if supported)</li> <li> values[3]: Acceleration supported for x-axis</li> <li> values[4]: Acceleration supported for y-axis</li> <li> values[5]: Acceleration supported for z-axis</li> </ul>

<h4>android.hardware.Sensor#TYPE_GYROSCOPE_LIMITED_AXES Sensor.TYPE_GYROSCOPE_LIMITED_AXES: </h4> 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 android.hardware.Sensor#TYPE_GYROSCOPE.

<ul> <li> values[0]: Angular speed around the x-axis (if supported)</li> <li> values[1]: Angular speed around the y-axis (if supported)</li> <li> values[2]: Angular speed around the z-axis (if supported)</li> <li> values[3]: Angular speed supported for x-axis</li> <li> values[4]: Angular speed supported for y-axis</li> <li> values[5]: Angular speed supported for z-axis</li> </ul>

<h4>android.hardware.Sensor#TYPE_ACCELEROMETER_LIMITED_AXES_UNCALIBRATED Sensor.TYPE_ACCELEROMETER_LIMITED_AXES_UNCALIBRATED: </h4> Equivalent to TYPE_ACCELEROMETER_UNCALIBRATED, but supporting cases where one or two axes are not supported.

The acceleration values and bias values for axes that are not supported are set to 0.

<ul> <li> values[0]: x_uncalib without bias compensation (if supported)</li> <li> values[1]: y_uncalib without bias compensation (if supported)</li> <li> values[2]: z_uncalib without bias compensation (if supported)</li> <li> values[3]: estimated x_bias (if supported)</li> <li> values[4]: estimated y_bias (if supported)</li> <li> values[5]: estimated z_bias (if supported)</li> <li> values[6]: Acceleration supported for x-axis</li> <li> values[7]: Acceleration supported for y-axis</li> <li> values[8]: Acceleration supported for z-axis</li> </ul>

<h4> android.hardware.Sensor#TYPE_GYROSCOPE_LIMITED_AXES_UNCALIBRATED Sensor.TYPE_GYROSCOPE_LIMITED_AXES_UNCALIBRATED: </h4> Equivalent to TYPE_GYROSCOPE_UNCALIBRATED, but supporting cases where one or two axes are not supported.

The angular speed values and drift values for axes that are not supported are set to 0.

<ul> <li> values[0]: Angular speed (w/o drift compensation) around the X axis (if supported)</li> <li> values[1]: Angular speed (w/o drift compensation) around the Y axis (if supported)</li> <li> values[2]: Angular speed (w/o drift compensation) around the Z axis (if supported)</li> <li> values[3]: estimated drift around X axis (if supported)</li> <li> values[4]: estimated drift around Y axis (if supported)</li> <li> values[5]: estimated drift around Z axis (if supported)</li> <li> values[6]: Angular speed supported for x-axis</li> <li> values[7]: Angular speed supported for y-axis</li> <li> values[8]: Angular speed supported for z-axis</li> </ul> </p>

<h4>android.hardware.Sensor#TYPE_HEADING Sensor.TYPE_HEADING:</h4>

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.

<ul> <li> values[0]: Measured heading in degrees.</li> <li> values[1]: Heading accuracy in degrees.</li> </ul>

Java documentation for android.hardware.SensorEvent.values.

Portions of this page are modifications based on work created and shared by the Android Open Source Project and used according to terms described in the Creative Commons 2.5 Attribution License.

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SensorEvent.Values Property

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Property Value

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