Designing Butterworth high pass filter for accelerometer
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i have a data set of 5 people. this data is collected from the user by performing different activities. the collected by the people mounted the accelerometer device on different body location ,i-e; waist, arm and pocket. i need to estimate the kinetic power traces from those acceleration traces. the data set i have is a 3 axial set but i need the overall magnitude of the acceleration and that one i got it. now the next step is the filter out the gravity component from the acceleration data.now i need to use 3rd order Butter-worth high pass filter with a 0.1 Hz cutoff frequency.
could anybody tell me how can i design and implement filter?? thank u
looking forward to a positive reply Thank you
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Star Strider
on 12 Feb 2016
I would use a bandpass filter to filter out both the d-c component (here, gravity), and high-frequency noise in one step. Use the fft of your data to determine what is valid signal data and what is noise. I usually begin with the stopband frequencies for a bandpass filter being 0.5 and 1.25 times the lower and upper passband frequencies respectively. You will likely have to experiment with the design to get the results you want.
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