yashv28 / gesture-recognition

Gesture Recognition using Hidden Markov Models

This project presents an approach for recognizing and classifying different arm motion gestures by using IMU sensor readings from gyroscopes and accelerometers to train a set of Hidden Markov Models, which gives the result as log-likelihood for each class and the class with the highest likelihood is chosen as the result.

The data format of the IMU readings collected from consumer mobile device is:

ts	Ax Ay Az	Wx Wy Wz
Time (ms)	3x Accelerometer (m/s2)	3x Gyroscope (rad/s)