accelerometer

Still on the BigNerdRanch iOS Development book. In the Accelerometer chapter, they first implement accelerometer tracking but it's fairly jumpy. They then suggest to apply a low pass filter to it by changing the original code: - (void)accelerometer:(UIAccelerometer *)accelerometer didAccelerate:(UIAcceleration *)acceleration { HypnosisView *hv = (HypnosisView *)[self view]; [hv setXShift:10.0 * [acceleration x]]; [hv setYShift:10.0 * [acceleration y]]; [hv setNeedsDisplay]; } to this: - (void)accelerometer:(UIAccelerometer *)accelerometer didAccelerate:(UIAcceleration *)acceleration {

I'm really sorry if this is a very basic question, but I have not choice but ask it: How do you translate the accelerometer data from the device coordinates to real world coordinates? I mean, assuming that the accelerometer is giving me somenting like (Ax,Ay,Az) - in device's coordinates -, what transformations should I apply to transform the values into (Ax',Ay',Az') - in real world's coordinates -, so I can use the acceleration vector in real worlds coordinates to calculate if the device is accelerating north, east, south-west,etc? I have been working around this issue during the past few

I'm trying to get both accelerometer and orientation data. Currently, I created an AccelerometerManager and OrientationManager. They both do the same thing; implement SensorEventListener and retrieve data from values[] in onSensorChanged() listeners. Is there an easier way to do this? It seems like having 2 handlers with duplicate code is uneccessary. Is there a way to access a values[] array with the combined accelerometer and orientation data together? Because of the 2 handlers, I'm also having to do this: orientationManager = new OrientationManager(this); orientationSensorManager =

After reading many researches and papers beside to many forums about how to measure the distance based on the acceleration data I found the double integration method, but the error related to this method is big and increases by time. In addition I found some people who suggested Kalman filter I read some references about it but it was not clear to me how to use it. also some were talking about the fusion sensors ... but after reading them I did not get any new ideas. so I am still confused and I did not find the right answer to follow .... sorry for this long introduction. Question Let us

I'm working on an android application which can calculate device's movement in 6 direction. I think I can use acceleration as; " x=a.t^2 " but a is not a constant. And this is the problem. How can I calculate the total movement?? The accelerometer gives you three directions (x, y, z). They are acceleration measurements which is harder to know what the position of the device is. But, remember acceleration is related to position through integration: a(t) = a[x] v(t) = a[x]t + c x(t) = a[x]t ^ 2 + ct + d Problem is you can't know c or d because as you take the derivative the constants drop out.