Human Activity Recognition

LSTM for Human Activity RecognitionJupyter Notebook

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

Classification on raw time series in TensorFlow with a LSTM RNNJupyter Notebook

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

Deep stacked residual bidirectional LSTMs for HARPython

A deep learning architecture using stacked residual bidirectional LSTM cells with TensorFlow for human activity recognition from sensor data.

Human-Activity-RecognitionJupyter Notebook

A machine learning project comparing topological and statistical feature extraction for classifying human activities from smartphone and smartwatch sensor data.