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I am planning to utilize Hidden Markov Models to identify gestures from accelerometer data(proper training and testing). I want to make this as a library, as this approach to classify signal data could be useful for experimenting with EEG data. Given the push for affordable EEG devices and gesture(accelerometer) based products, this might prove beneficial for creative coders to play around with user defined gestures. Initially the library could only interface with an arduino, later on it could be extended to EEG devices(waiting for Muse headset), as the main work lies in the implementation of HMMs. Would such a library be beneficial to Processing? or does my idea need more finesse?