EMPD: An Event-based Multimodal Physiological Dataset for Remote Pulse Wave Detection

• URL: http://arxiv.org/abs/2603.26699v1
• Date: Tue, 17 Mar 2026 01:25:05 GMT
• Title: EMPD: An Event-based Multimodal Physiological Dataset for Remote Pulse Wave Detection
• Abstract summary: EMPD is the first benchmark dataset specifically for non-contact physiological sensing via event cameras.<n>It provides synchronized precisely multimodal data with microsecond-level temporal precision.<n>The dataset serves as a crucial resource for developing robust algorithms in the field of neuromorphic physiological monitoring.
• Score: 17.621871238954053
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Remote photoplethysmography (rPPG) based on traditional frame-based cameras often struggles with motion artifacts and limited temporal resolution. To address these limitations, we introduce EMPD (Event-based Multimodal Physiological Dataset), the first benchmark dataset specifically designed for non-contact physiological sensing via event cameras. The dataset leverages a laser-assisted acquisition system where a high-coherence laser modulates subtle skin vibrations from the radial artery into significant signals detectable by a neuromorphic sensor. The hardware platform integrates a high-resolution event camera to capture micro-motions and intensity transients, an industrial RGB camera to provide traditional rPPG benchmarks, and a clinical-grade pulse oximeter to record ground truth PPG waveforms. EMPD contains 193 valid records collected from 83 subjects, covering a wide heart rate range (40-110 BPM) under both resting and post-exercise conditions. By providing precisely synchronized multimodal data with microsecond-level temporal precision, EMPD serves as a crucial resource for developing robust algorithms in the field of neuromorphic physiological monitoring. The dataset is publicly available at: https://doi.org/10.5281/zenodo.18765701

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