MPU-rPPG: A Comprehensive and High-Fidelity Dataset for Remote Photoplethysmography Across Diverse Conditions and Demographics
Crossref DOI link: https://doi.org/10.1038/s41597-026-07310-3
Published Online: 2026-05-28
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Chen, Zhengxuan
Tan, Tao
Yu, Zitong
Jiang, Haitao
Wang, Keguang
Gao, Jie
Sun, Yue
Text and Data Mining valid from 2026-05-28
Accepted Manuscript valid from 2026-05-28
Article History
Received: 23 June 2025
Accepted: 21 April 2026
First Online: 28 May 2026
Competing interests
: The authors declare no competing interests.