DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors

no code implementations • 25 Jun 2020 • Wenbin Gao, Lei Zhang, Qi Teng, Jun He, Hao Wu

Recently, two attention methods are proposed via combining with Gated Recurrent Units (GRU) and Long Short-Term Memory (LSTM) network, which can capture the dependencies of sensing signals in both spatial and temporal domains simultaneously.

Hard Attention Human Activity Recognition

Layer-wise training convolutional neural networks with smaller filters for human activity recognition using wearable sensors

no code implementations • 8 May 2020 • Yin Tang, Qi Teng, Lei Zhang, Fuhong Min, Jun He

A set of lower-dimensional filters is used as Lego bricks to be stacked for conventional filters, which does not rely on any special network structure.

Human Activity Recognition Time Series Analysis