Pose estimation based on cases generated via Hidden Markov model

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I'm looking to generate a list of pose cases based on sensor data (imu, angle sensors, etc) by feeding gathered data into a hidden Markov model. I'm trying to figure out how to use a hmm to generate pose cases so that my system will be able to predict the movement of a user.


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