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Classification of human activities such as walking, running, and sitting using machine learning algortihms, including DNN, RNN, GRU, etc.

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arash-salemi/Human-Activity-Recognition

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Human-Activity-Recognition

Employed a number of machine learning algorithms, including DNN, GRU, and bidirectional GRU, to classify human activities such as walking, sitting, etc.

  • Dimension reduction and pre-processing of IMU data collected via a smartphone
  • Employed DNN, GRU, and bidirectional GRU to classify human activities, such as walking, sitting, etc.
  • Optimized network hyperparameters (learning rate, neuron numbers, etc.) using Grid Search and GA

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Classification of human activities such as walking, running, and sitting using machine learning algortihms, including DNN, RNN, GRU, etc.

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