21 citations · 52 across the 19 of their papers we have counts for
11 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…
Non-Contact Health Monitoring During Daily Personal Care Routines
Xulin Ma, Jiankai Tang, Zhang Jiang +7
Remote photoplethysmography (rPPG) enables non-contact, continuous monitoring of physiological signals and offers a practical alternative to traditional health sensing methods. Alt…
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…
Summit Vitals: Multi-Camera and Multi-Signal Biosensing at High Altitudes
Ke Liu, Jiankai Tang, Zhang Jiang +4
Video photoplethysmography (vPPG) is an emerging method for non-invasive and convenient measurement of physiological signals, utilizing two primary approaches: remote video PPG (rP…
Camera-Based Remote Physiology Sensing for Hundreds of Subjects Across Skin Tones
Jiankai Tang, Xinyi Li, Jiacheng Liu +3
Remote photoplethysmography (rPPG) emerges as a promising method for non-invasive, convenient measurement of vital signs, utilizing the widespread presence of cameras. Despite adva…
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…
MMPD: Multi-Domain Mobile Video Physiology Dataset
Jiankai Tang, Kequan Chen, Yuntao Wang +4
Remote photoplethysmography (rPPG) is an attractive method for noninvasive, convenient and concomitant measurement of physiological vital signals. Public benchmark datasets have se…
rPPG-Toolbox: Deep Remote PPG Toolbox
Xin Liu, Girish Narayanswamy, Akshay Paruchuri +7
Camera-based physiological measurement is a fast growing field of computer vision. Remote photoplethysmography (rPPG) utilizes imaging devices (e.g., cameras) to measure the periph…
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing
Xin Liu, Yuntao Wang, Sinan Xie +4
Camera-based contactless photoplethysmography refers to a set of popular techniques for contactless physiological measurement. The current state-of-the-art neural models are typica…