accelerometer

i have done developed a sample application with the help of tutorials posted on web. my aim is to access the accelerometer and move a ball as per the phone orientation. i was successful to certail extent. But i have two isses the ball is going out of bound of the screen the ball movement is not smooth ( looks it disappears and re appears on the screen) here is my code. is there any change i need to do to get the smooth and exact movement of the ball as we see in lot of games. public class Accelerometer extends Activity implements SensorEventListener{ /** Called when the activity is first

I'm getting pitch and roll data from my device's gyroscope using this tutorial: http://www.thousand-thoughts.com/2012/03/android-sensor-fusion-tutorial/ All the readings are extremely accurate (there's a filter applied to the code in the tutorial to eliminate gyro drift). Unfortunately, the code only works when my device is placed flat on a surface that is parallel to the ground. The most ideal position for my app to work would be with the top of the device pointing straight up (ie, the device is perpendicular to the ground with the screen facing the user). Whenever I orient my device in this

During the free fall the iphone is supposed to send acceleration values as 0 on all the three axis. So how to detect the distance covered by the iphone? Do not trust Newton laws, they ignore air drag, Iphone rotation etc. Use empirical approach instead. Let the device fall from several heights like 1m, 2m, 5m, 10m, 30m... Repeat several times for each height. In each fall measure time. Approximate results by spline. Compute inverse function. The most simple and naive implementation is to sample the accelerometerdata and use the following formula. v+=a*dt; d+=v*dt; But this is can give drift

I listened to this talk: http://www.youtube.com/watch?v=C7JQ7Rpwn2k which is Invensense Inc prototyping their "Sensor fusion" system, which is where they combine gyro, accelerometer, compass measurements in Android, to get better results. Is this currently implemented in any version of Android? The reason I ask is, part of sensor fusion is the "Gravity" sensor and the "Linear Acceleration" sensor, which ARE implemented in Android ever since API Level 9... makes me think that either 1) sensor fusion is implemented 2) sensor fusion is not implemented, but these are just added into Android API in

i am creating an augmented reality app that simply visualices a textview when the phone is facing a Point of Interest (wich gps position is stored on the phone). The textview is painted on the point of interest location in the screen. It works ok, the problem is that compass and accelerometer are very "variant", and the textview is constantly moving up and down left and right because the innacuracy of the sensors. there is a way to solve it? Our problem is same. I also had same problem when I create simple augmented reality project. The solution is to use exponential smoothing or moving

Using my Android device how can I detect if the user is walking, cycling or driving? I have checked the Google Fit app. It differentiates between running, cycling and driving. I am puzzled about what algorithms I should use to differentiate between these activities. I know I would have to use the accelerometer sensor. But still I can't differentiate these activities. You can use the GooglePlayServices for this. It Provides special apis for ActivityRecognition, which returns the User activity with confidence level for each. https://developer.android.com/reference/com/google/android/gms/location

Recently I have made some research to use both the accelerometer + Gyroscope to use those senser to track a smartphone without the help of the GPS (see this post) Indoor Positioning System based on Gyroscope and Accelerometer For that purpose I will need my orientation (angle (pitch, roll etc..)) so here what i have done so far: public void onSensorChanged(SensorEvent arg0) { if (arg0.sensor.getType() == Sensor.TYPE_ACCELEROMETER) { accel[0] = arg0.values[0]; accel[1] = arg0.values[1]; accel[2] = arg0.values[2]; pitch = Math.toDegrees(Math.atan2(accel[1], Math.sqrt(Math.pow(accel[2], 2) + Math

I'm experimenting with a 3 accelerometer breakout board. The X and Y axis are very easy to control, but the Z axis is a bit of a mystery. I'm trying to find a way of interpreting the data in my code to increase output as the device is lifted up in the air, and reduce as it is lowered down. Is this possible? If so, how? Maybe if someone can point me towards a good reference source that would help. Sajib Mahmood Basic Understanding Of Accelerometers: (Only for some conceptual clarification) Accelerometers measure acceleration, often caused by motion. But when they are standing still, the only