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I have been reading some papers about motion gesture (i.e. accelerometer) recognition. It seems that the most common approach is to use Hidden Markov Models. Do OpenCV support this?

Hello,

I am writing an application (for academic/research purpose) for Android smartphones that needs to recognize a small set of motion gestures performed by the user (triangle, circle, square, cross, etc) .

Motion gestures typically use accelerometer and gyroscope data.

I already wrote an app that will collect data samples provided by users. This app will ask users to perform a small set of motion gestures with their Android phones while the app reads and collects accelerometer and gyroscope data from the phone. This data will then be used to train a classifier in order to use in the final app that should be able to recognize the gestures made by the users.

So I need some machine learning framework to implement the recognition facility on my app. And I am wondering if OpenCV is suitable for this.

Could you clarify me if OpenCV is the right tool for such a system?