MCD-rPPG: Multi-Camera Video Dataset for Remote Heart Rate and Health Biomarker Estimation

MCD-rPPG is a large-scale multimodal dataset designed for remote photoplethysmography and health biomarker estimation from video. The dataset includes synchronized video recordings from multiple cameras, as described in the paper "Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation". Author wengziheng uploaded the dataset to the Hugging Face Hub, with a last recorded update on 2025-12-09.

Use Cases

• Train remote photoplethysmography (rPPG) models based on synchronized multi-view video recordings.
• Develop algorithms for estimating health biomarkers from facial or body video data.
• Benchmark multi-camera fusion techniques for physiological signal extraction.
• Study the relationship between visual features and underlying cardiovascular physiology.

Strengths

• Dataset is described as 'large-scale' and 'multimodal' in the provided description.
• Includes synchronized video recordings from multiple cameras, a feature explicitly mentioned.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.

Provenance

Source

Dataset from the paper "Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation", uploaded by author wengziheng.

Collection Method

Likely contains video recordings gathered in a controlled or experimental setting for rPPG research.

Freshness

Last updated 2025-12-09 13:34:21; freshness should be verified.