MMSE-HR (Multimodal Spontaneous Expression-Heart Rate dataset)
Introduced by Zhang et al. in Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis
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
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MMSE-HR
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Beam AI SDK
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Papers
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