improve the gyroscope javadoc
change the sample code to something more useful and more correct. Change-Id: Ia81f86a2f409edbb395405ababae307663824cb9
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@ -154,16 +154,16 @@ public class SensorEvent {
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* All values are in micro-Tesla (uT) and measure the ambient magnetic field
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* in the X, Y and Z axis.
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*
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* <h4>{@link android.hardware.Sensor#TYPE_GYROSCOPE Sensor.TYPE_GYROSCOPE}:</h4>
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* All values are in radians/second and measure the rate of rotation
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* around the X, Y and Z axis. The coordinate system is the same as is
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* used for the acceleration sensor. Rotation is positive in the counter-clockwise
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* direction. That is, an observer looking from some positive location on the x, y.
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* or z axis at a device positioned on the origin would report positive rotation
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* if the device appeared to be rotating counter clockwise. Note that this is the
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* standard mathematical definition of positive rotation and does not agree with the
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* definition of roll given earlier.
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*
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* <h4>{@link android.hardware.Sensor#TYPE_GYROSCOPE Sensor.TYPE_GYROSCOPE}:
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* </h4> All values are in radians/second and measure the rate of rotation
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* around the device's local X, Y and Z axis. The coordinate system is the
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* same as is used for the acceleration sensor. Rotation is positive in the
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* counter-clockwise direction. That is, an observer looking from some
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* positive location on the x, y or z axis at a device positioned on the
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* origin would report positive rotation if the device appeared to be
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* rotating counter clockwise. Note that this is the standard mathematical
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* definition of positive rotation and does not agree with the definition of
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* roll given earlier.
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* <ul>
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* <p>
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* values[0]: Angular speed around the x-axis
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@ -176,28 +176,61 @@ public class SensorEvent {
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* </p>
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* </ul>
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* <p>
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* Typically the output of the gyroscope is integrated over time to calculate
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* an angle, for example:
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* Typically the output of the gyroscope is integrated over time to
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* calculate a rotation describing the change of angles over the timestep,
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* for example:
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* </p>
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*
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* <pre class="prettyprint">
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* private static final float NS2S = 1.0f / 1000000000.0f;
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* private final float[] deltaRotationVector = new float[4]();
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* private float timestamp;
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* public void onSensorChanged(SensorEvent event)
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* {
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*
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* public void onSensorChanged(SensorEvent event) {
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* // This timestep's delta rotation to be multiplied by the current rotation
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* // after computing it from the gyro sample data.
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* if (timestamp != 0) {
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* final float dT = (event.timestamp - timestamp) * NS2S;
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* angle[0] += event.values[0] * dT;
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* angle[1] += event.values[1] * dT;
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* angle[2] += event.values[2] * dT;
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* // Axis of the rotation sample, not normalized yet.
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* float axisX = event.values[0];
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* float axisY = event.values[1];
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* float axisZ = event.values[2];
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*
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* // Calculate the angular speed of the sample
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* float omegaMagnitude = sqrt(axisX*axisX + axisY*axisY + axisZ*axisZ);
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*
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* // Normalize the rotation vector if it's big enough to get the axis
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* if (omegaMagnitude > EPSILON) {
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* axisX /= omegaMagnitude;
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* axisY /= omegaMagnitude;
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* axisZ /= omegaMagnitude;
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* }
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*
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* // Integrate around this axis with the angular speed by the timestep
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* // in order to get a delta rotation from this sample over the timestep
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* // We will convert this axis-angle representation of the delta rotation
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* // into a quaternion before turning it into the rotation matrix.
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* float thetaOverTwo = omegaMagnitude * dT / 2.0f;
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* float sinThetaOverTwo = sin(thetaOverTwo);
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* float cosThetaOverTwo = cos(thetaOverTwo);
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* deltaRotationVector[0] = sinThetaOverTwo * axisX;
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* deltaRotationVector[1] = sinThetaOverTwo * axisY;
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* deltaRotationVector[2] = sinThetaOverTwo * axisZ;
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* deltaRotationVector[3] = cosThetaOverTwo;
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* }
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* timestamp = event.timestamp;
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* float[] deltaRotationMatrix = new float[9];
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* SensorManager.getRotationMatrixFromVector(deltaRotationMatrix, deltaRotationVector);
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* // User code should concatenate the delta rotation we computed with the current rotation
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* // in order to get the updated rotation.
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* // rotationCurrent = rotationCurrent * deltaRotationMatrix;
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* }
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* </pre>
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*
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* <p>In practice, the gyroscope noise and offset will introduce some errors which need
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* to be compensated for. This is usually done using the information from other
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* sensors, but is beyond the scope of this document.</p>
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*
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* <p>
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* In practice, the gyroscope noise and offset will introduce some errors
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* which need to be compensated for. This is usually done using the
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* information from other sensors, but is beyond the scope of this document.
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* </p>
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* <h4>{@link android.hardware.Sensor#TYPE_LIGHT Sensor.TYPE_LIGHT}:</h4>
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* <ul>
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* <p>
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