SmartMove-PolytechGrenoble's repositories
LSTM-Human-Activity-Recognition
Human activity recognition 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).
Language:Jupyter NotebookMIT000
SmartMoveSensor
Code for sensor devices (based on Arduino 101) for smart move project.
TensorFlow-on-Android-for-Human-Activity-Recognition-with-LSTMs
iPython notebook and Android app that shows utilisation of LSTM model in TensorFlow and deployment on Android
Language:Jupyter Notebook000