6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Training Robust Deep Physiological Measurement Models with Synthetic Video-based Data
Yuxuan Ou, Yuzhe Zhang, Yuntang Wang +4
Recent advances in supervised deep learning techniques have demonstrated the possibility to remotely measure human physiological vital signs (e.g., photoplethysmograph, heart rate)…
cs.CV2022★ 6 cited
MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition
Ziqi Gao, Yuntao Wang, Jianguo Chen +4
Multimodal sensors provide complementary information to develop accurate machine-learning methods for human activity recognition (HAR), but introduce significantly higher computati…