android - pre-process Acceleremeter data for analysis -

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I want to analyze and analyze accelerometer data with other sensor data as well as activity identification (for example driving) . But before proceeding with activity accreditation, I think I will need to do some pre-processing.

I came to some research papers that they used high pass filter, low pass filter, FFT and etc. in the pre-process information.

Can anyone explain FFT on a high pass filter, low pass filter, sensor data analysis? I have an online search but are still unable to understand what it really is doing.

Google actually does it already, you can use your code Can explain to you, but if you do not know them then you are studying the month, doing so can do the best for you. I suggest using Google's detectors.

Basic analysis - Every polarization of accelerometer produces a wave, these waves have different frequency. High frequency allows waves but eliminates people with low frequency

Low pass filter - A filter that allows through low frequency waves but eliminates high frequency ones. gives.

FFT- Fast Fourier transform Fourier transforms an indication into an infinite series of sign and cosine waves which are stored in the original signal. FFT is an algorithm for understanding the coefficient of those saints and cosine. Its frequency is used in domain analysis, as has been said by the name, it is a quick way to do this without using formal integration (the normal way of doing it by hand F (x) E ^ (- ix) An integral part is to calculate where I have the root of the square - 1 and F (x) signal data.


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