3 citations · 4 across the 9 of their papers we have counts for
6 papers · 1 filter
FacePhys: State of the Heart Learning
Kegang Wang, Jiankai Tang, Yuntao Wang +5
Vital sign measurement using cameras presents opportunities for comfortable, ubiquitous health monitoring. Remote photoplethysmography (rPPG), a foundational technology, enables ca…
M3PD Dataset: Dual-view Photoplethysmography (PPG) Using Front-and-rear Cameras of Smartphones in Lab and Clinical Settings
Jiankai Tang, Tao Zhang, Jia Li +10
Portable physiological monitoring is essential for early detection and management of cardiovascular disease, but current methods often require specialized equipment that limits acc…
Exploring Remote Physiological Signal Measurement under Dynamic Lighting Conditions at Night: Dataset, Experiment, and Analysis
Zhipeng Li, Kegang Wang, Hanguang Xiao +4
Remote photoplethysmography (rPPG) is a non-contact technique for measuring human physiological signals. Due to its convenience and non-invasiveness, it has demonstrated broad appl…
Memory-efficient Low-latency Remote Photoplethysmography through Temporal-Spatial State Space Duality
Kegang Wang, Jiankai Tang, Yuxuan Fan +3
Remote photoplethysmography (rPPG), enabling non-contact physiological monitoring through facial light reflection analysis, faces critical computational bottlenecks as deep learnin…
Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer
Mingxuan Liu, Jiankai Tang, Yongli Chen +7
Artificial neural networks (ANNs) can help camera-based remote photoplethysmography (rPPG) in measuring cardiac activity and physiological signals from facial videos, such as pulse…
Camera-Based HRV Prediction for Remote Learning Environments
Kegang Wang, Yantao Wei, Jiankai Tang +5
In recent years, due to the widespread use of internet videos, remote photoplethysmography (rPPG) has gained more and more attention in the fields of affective computing. Restoring…