Datasets › MMSE-HR

MMSE-HR (Multimodal Spontaneous Expression-Heart Rate dataset)

Introduced by Zheng Zhang et al. in Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis1 Jun 2016 archive 2025-07-28

The MMSE-HR benchmark consists of a dataset of 102 videos from 40 subjects recorded at 1040x1392 raw resolution at 25fps. During the recordings, various stimuli such as videos, sounds, and smells are introduced to induce different emotional states in the subjects. The ground truth waveform for MMSE-HR is the blood pressure signal sampled at 1000Hz. The dataset contains a diverse distribution of skin colors in the Fitzpatrick scale (II=8, III=11, IV=17, V+VI=4).

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Photoplethysmography (PPG) heart rate estimation MMSE-HR Beam AI SDK MAE 1.72 Real-Time Monitoring of User Stress, Heart Rate and... — 6 Compare

Papers archive 2025-07-28

5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 24. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown Licence

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • MMSE-HR

1 variant name, as the archive lists them.

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