Deep ConvLSTM With Self-Attention for Human Activity Decoding Using Wearable Sensors

Decoding human activity accurately from wearable sensors can aid in applications related to healthcare and context awareness. The present approaches in this domain use recurrent and/or convolutional models to capture the spatio-temporal features from time-series data from multiple sensors. We propos... View More