sensor-fusion

I'm trying to get yaw of an android device expressed in euler angles. To be clear i dont want 'Azimuth' (which is the angle to magnetic north) I want the rotation of the 'z' axis of an android device as shown in this picture. This (IMHO) should be the axis used in some car games to determine the amount of steering. It is my understanding I could just use the Accelerometer values (without the magnetic fields) but I'm unable to get the determined value. (probably due to a lack of understanding of how rotation matrixes works). Can someone point me toward the right direction? Hoan Nguyen If you

I have raw data of Gyroscope and magnetometer. on basis of this data, i have to calculate Heading information with an accuracy of 1Deg. I would like to know, is there any algorithm which can help me to get heading info using available information with mentioned accuracy? Any article or any link also will be helpful. Thanks I am assuming you are using phone to collect gyroscope+magnetometer data. You cannot calculate Heading with Gyro+Magnetometer unless you know initial state of device. You have to try Accelerometer+Magnetometer . You can get heading values from rotation-matrix' or yaw`

I am currently developing an android application that uses multiple sensors, I have used mSensor= mySensorManager.getDefaultSensor(Sensor.TYPE_ACCELEROMETER); in OnCreate Method to get the sensor and tv.setText("X: "+ sensorEvent.values[0] + ...); in onSensorChanged method, to display the accelerometer values in a text view. How can I add more sensors and display their values in the same way? How will the program know which sensor I am referring to when I say sensorEvent.values[0] ? Thank you for any help in advance, Maja You will need to check if the sensor values are of that type of sensor

I'm trying to implement Madgwick sensor fusion algorithm from here on LSM9DS0 sensor (accelerometer, gyroscope and magnetometer) on STM Cortex M3 microcontroller. Raw data from all sensors seems to be fine. My problem is: when I hold sensor with it's z-axis horizontal or downwards (i.e. roll or pitch angle is more than 90 degrees) - quaternion from filter becomes really unstable and randomly flips 180 degrees. More correctly, q0 and q3 are constantly changing signs, resulting in 180 degree flip of rotation. I tried using constant values instead of real sensor output and still got this behavior