LSTM-Human-Activity-Recognition
Human Activity Detector
An LSTM-based human activity recognition system using smartphone sensor data.
Human activity recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) - Guillaume Chevalier
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Language: Jupyter Notebook
last commit: over 4 years ago
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time-series
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