• Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Python
  • License
    MIT License
  • Created about 6 years ago
  • Updated about 6 years ago

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Repository Details

Classify human actions into six different categories from smartphone sensor data. Initially used pre-processed data from a smartphone accelerometer and implemented Support Vector Machine (SVM) to classify the actions. As an improvement in the next phase, train a deep convolutional neural network with long-short-term memory cells, which produced more accurate results.