I have acceleration data in 3D vectors (
For detecting certain patterns within the data stream, I use a fixed moving window to generate many statistic features, like mean, max, kurtosis,...
I use these feature vectors to detect key strokes.
My results are already quite ok, but I want to improve them.
And many papers in this field used the fourier transformation (or
fft) to improve their results.
I never worked in the frequency domain, so I don't know what this is used for and what information I could gain from using
Most articles I found on this topic are focused on audio stuff.
Can someone please give me a more general explanation of the
fft and what information I can gain from it having a time series of data?