Hi,
If I only have accelreometer readings and no gyroscope or orientation readings is it still possible to filter out g from it using a kalman filter? Also will kalman filter help me reduce the noise from the accelerometer data better than a moving average or a low pass filter?
Hi people,
I have accelerometer readings from a 3 axis accelerometer and need some help coding a few things. I am using MATLAB for the coding bit. It is worn by someone kayaking on one of the hands. and when the paddle hits the water there is a jerk produced and I have to charaterise that jerk...
I don't think you understand my question completely. Even if I do what you said how will the component of gravity separate from the calculation? I tried integrating to get the velocity but the values were inaccurate as the g ( acc due to gravity) played a role in the value if you know what I mean?
Hi,
I have read all the posts in this thread. I am working on a project for kayaking where an accelerometer is gripped on the athletes wrist and he/she starts kayaking the acc data is collected from the run. The problem statement is the characterise events like paddle entry, exit, velocity...