Overview

This project is a fork of deep-cases which handles Deep learning and LSTM approaches for human activity recognition, which is included in the paper "A Sequential Deep Learning Application for Recognising Human Activities in Smart Homes" accepted for Neurocomputing journal.

Data

The data.py script loads some CASAS datasets and saves them into NumPy binary format files .npy for faster loading later.

python data.py

Train

python train.py --v LSTM
python train.py --v biLSTM
python train.py --v Ensemble2LSTM
python train.py --v CascadeEnsembleLSTM
python train.py --v CascadeLSTM