gyroscope

The Sensor Fusion video looks great, but there's no code: http://www.youtube.com/watch?v=C7JQ7Rpwn2k&feature=player_detailpage#t=1315s Here is my code which just uses accelerometer and compass. I also use a Kalman filter on the 3 orientation values, but that's too much code to show here. Ultimately, this works ok, but the result is either too jittery or too laggy depending on what I do with the results and how low I make the filtering factors. /** Just accelerometer and magnetic sensors */ public abstract class SensorsListener2 implements SensorEventListener { /** The lower this is, the

I rotated my android device in x direction (from -180 degree to 180 degree), see image below. And I assume only Rotation vector x value is changed. Y and z maybe have some noise, but it should be not much difference among the values. However, I receive this. Kindly see https://docs.google.com/spreadsheets/d/1ZLoSKI8XNjI1v4exaXxsuMtzP0qWTP5Uu4C3YTwnsKo/edit?usp=sharing I suspect my sensor has some problem. Any idea? Thank you very much. Jimmy Your sensor is fine. Well, the rotation vector entries cannot simply be related to the rotation angle around a particular axis. The SensorEvent structure

How can I get a direction vector representing the direction the back of the device is pointing relative to earth coordinates? For example, if place down on a desk (screen facing up) it should read [0,0,-1] and if held vertically facing north it should read [1,0,0], etc. I know how to calculate it from heading, pitch, and roll, as long as those are relative to earth coordinates. To be clear here I am not looking for angular velocity, but the actual current angle relative to the plane tangent to the earth. So if the device is held vertically and facing north, the angle "alpha" should read 0 or

In my current project I ran into trouble regarding the quaternion provided by Core Motion's CMAttitude. I put the iPhone 5 (iOS 6.0.1) at a well defined start position. Then I start to move the device quickly around like in a fast pacing game. When I return to the start position after 10-30 seconds the reported yaw angle differ from the start position for 10-20 degrees (most of the time ≈11°). I used the old (and sadly no longer available) Core Motion Teapot sample to validate the effect. The Euler Angles for logging are read directly from CMAttitude: NSLog(@"pitch: %f, roll: %f, yaw: %f",

I am designing a robot, and need to track the distance and direction of the robot motion, Nothing in 3D, I only need x,y and angle in x y plane. My question : Is it possible to use gyro and accelerometer with kalman filtering or any other methods to track this? (I do not have motor encoders) My constraints : I do not have space to include a gps (due to power requirements) or motor encoders (due to motor support) Ali No, not really. If you integrate the accelerometer values twice you get position but the error is horrible. It is useless in practice. Here is an explanation why (Google Tech Talk)

The official development documentation suggests the following way of obtaining the quaternion from the 3D rotation rate vector (wx, wy, wz) . // Create a constant to convert nanoseconds to seconds. 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 timestep'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

I want to know current speed of car and make a passed path. I have an Android phone with accelerometer and gyroscope which sent me data. This is the data in phone system of coordinate that probably wouldn't the same as coordiante system of car. How I can transform this accelerations and rotations to car system of coordinate? The generic answer for your generic question is no . The acceleration measures the changes in the speed, so the best you could get from acceleration, is the speed variation. To get the absolute speed you would have to have the initial speed and add it to the speed change: