/ESE650Project3

ESE 650: Learning in Robotics, Project 3, Gesture Recognition using Hidden Markov Models and IMU Data

Primary LanguageMATLABMIT LicenseMIT

Gesture Recognition using Hidden Markov Models on IMU Data

Problem Statement

Use Hidden Markov Model on IMU data (accelerometer and gyroscope) to classify gestures.

Usage Guide:

  1. Run WrapperTrainandTest.m for running both training and testing.
  2. Run WrapperTestOnly.m for testing only (Change TestPath as needed) 3.You'll need a folder called Outputs to save the plots or else the code will throw an error.

Report:

You can find the report here.

References:

  1. Rabiner, Lawrence R. "A tutorial on hidden Markov models and selected applications in speech recognition." Proceedings of the IEEE 77.2 (1989): 257-286.
  2. http://www.mathworks.com/help/signal/examples/signal-smoothing.html?prodcode=SG&language=en#zmw57dd0e318