Deep Learning, Artificial Intelligence, Signal Processing.
length input sequences. Source Source The above figure shows a proposed architecture for using LSTM based Deep RNNs for HAR. The inputs will be raw signals obtained from multi-modal sensors, segmented into windows of length T and fed into LSTM based DRNN model. The model will then output class