activity
20232025
most citedCamera-Based HRV Prediction for Remote Learning Environments

3 citations · 4 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2025

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…

cs.CV2025

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…

cs.CE2025

Contact Sensors to Remote Cameras: Quantifying Cardiorespiratory Coupling in High-Altitude Exercise Recovery

Jiankai Tang, Meng Kang, Yiru Zhang +5

Cardiorespiratory coupling (CRC) captures the dynamic interaction between the cardiac and respiratory systems--an interaction strengthened by physical exercise and linked to improv…

cs.CV2025

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…

eess.IV2025

A Dataset and Toolkit for Multiparameter Cardiovascular Physiology Sensing on Rings

Jiankai Tang, Kegang Wang, Yingke Ding +6

Smart rings offer a convenient way to continuously and unobtrusively monitor cardiovascular physiological signals. However, a gap remains between the ring hardware and reliable met…

cs.CV2025

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…

eess.IV2024

A Plug-and-Play Temporal Normalization Module for Robust Remote Photoplethysmography

Kegang Wang, Jiankai Tang, Yantao Wei +3

Remote photoplethysmography (rPPG) extracts PPG signals from subtle color changes in facial videos, showing strong potential for health applications. However, most rPPG methods rel…

cs.CV2024

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…

cs.LG2023★ 1 cited

ALPHA: AnomaLous Physiological Health Assessment Using Large Language Models

Jiankai Tang, Kegang Wang, Hongming Hu +4

This study concentrates on evaluating the efficacy of Large Language Models (LLMs) in healthcare, with a specific focus on their application in personal anomalous health monitoring…

cs.CV2023★ 3 cited

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…