Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors

Human activity recognition (HAR) has become a popular topic in research because of its wide application. With the development of deep learning, new ideas have appeared to address HAR problems. Here, a deep network architecture using residual bidirectional long short-term memory (LSTM) is proposed. T... View More