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a left-to-right Hidden Markov Model for cellphone gesture recognition, using IMU data

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UPenn ESE650 Learning in Robotics, Project 3

  1. Put training data .txt file into folder .\train_data
    Put testing data .txt file into folder .\test_data
  2. Modify gesture_recognition.py, TRAIN means training a new HMM model, PREDICT means predicting with existed HMM model
  3. Run gesture_recognition.py, a comparision of true and predicted gesture and accuracy will appear at python console

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a left-to-right Hidden Markov Model for cellphone gesture recognition, using IMU data

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