Human Activity Recognition Using LSTM-RNN Deep Neural Network Architecture

2 May 2019Schalk Wilhelm PienaarReza Malekian

Using raw sensor data to model and train networks for Human Activity Recognition can be used in many different applications, from fitness tracking to safety monitoring applications. These models can be easily extended to be trained with different data sources for increased accuracies or an extension of classifications for different prediction classes... (read more)

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