Multi-Camera Remote Photoplethysmography Video Dataset

MCD-rPPG is a large-scale multimodal dataset for remote photoplethysmography and health biomarker estimation from video. The dataset contains synchronized video recordings from multiple camera views, designed for the paper 'Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation'.

Use Cases

• Train rPPG signal extraction models from synchronized multi-view video recordings.
• Estimate health biomarkers using video-based physiological signal analysis.
• Develop and benchmark algorithms for non-contact heart rate monitoring from facial videos.

Strengths

• Dataset is described as large-scale and multimodal.
• Contains synchronized video recordings from multiple camera views.
• Specifically designed for rPPG and health biomarker estimation tasks.

Limitations

• Specific scale metrics like row count, video duration, or subject count are unknown.
• Column structure and available file formats are not detailed.
• Potential limitations regarding demographic diversity or controlled recording conditions are unspecified.

Provenance

Source

Paper: 'Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation', author kyegorov.

Collection Method

Synchronized video recordings from multiple cameras, likely in a controlled setting for rPPG.

Freshness

Last updated on December 2, 2025.