Multi-Level Constrained Intra and Inter Subject Feature Representation for Facial Video Based BVP Signal Measurement

• Published in: IEEE journal of biomedical and health informatics Vol. 27; no. 8; pp. 3948 - 3957
• Main Authors: Li, Bin, Zhang, Wei, Fu, Hong, Liu, Hao, Xu, Feng
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.08.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Biomedical measurement; Blood volume; Constraints; Face; Faces; Feature extraction; Global-local temporal fusion; Heart Rate; Humans; Kernels; Monitoring, Physiologic; remote health monitoring; Remote monitoring; Representation learning; Representations; Semantics; Signal measurement; Skin; Temporal variations; Video sequences

Facial video-based blood volume pulse (BVP) signal measurement holds great potential for remote health monitoring, while existing methods have issues with convolutional kernel perceptual field constraints. This article proposes an end-to-end multi-level constrained spatiotemporal representation stru...