mlsanityData to 7 Oct 2026

Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars

arXiv 2010.12949 ↗First posted 24 Oct 2020cs.CV cs.AI cs.LGcited by 15

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Abstract (arXiv)

Non-contact physiological measurement has the potential to provide low-cost, non-invasive health monitoring. However, machine vision approaches are often limited by the availability and diversity of annotated video datasets resulting in poor generalization to complex real-life conditions. To address these challenges, this work proposes the use of synthetic avatars that display facial blood flow changes and allow for systematic generation of samples under a wide variety of conditions. Our results show that training on both simulated and real video data can lead to performance gains under challenging conditions. We show state-of-the-art performance on three large benchmark datasets and improved robustness to skin type and motion.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Oct 2020.

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Citing papers per year: 2021: 7; 2022: 3; 2023: 2; 2024: 2; 2025: 1.

15 papers.

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