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Posture Recognition

Keywords: Python, Deep Learning

Introduction

This will train a model which used in my university graduate project "Human Posture Recognition Based on Neural Network in Robot Controlling".
In 2013, I trained the model that using C++ and OpenNN, and I got 84.04% classification accuracy.
Now I train this model again that using Python, Keras, and Theano as backend, then I get a better classification accuracy which is 99.04%.

Requirement

  1. Python 3.5
  2. Keras
  3. Theano / TensorFlow (as Keras backend)
  4. Numpy
  5. Pandas

Data

Input :
We got the body coordinate from Kinect, then using Dot Product to find the angle of shoulder and elbow.

  • angle of left shoulder
  • angle of right shoulder
  • angle of left elbow
  • angle of right elbow

Output :
classified to 9 classes, example:

  • 1 => 1 0 0 0 0 0 0 0 0
  • 5 => 0 0 0 0 1 0 0 0 0
  • 9 => 0 0 0 0 0 0 0 0 1