ArticleScientific data2024
WEMAC: Women and Emotion Multi-modal Affective Computing dataset.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Affective Dimensions in Maternal Voice During Child Feeding in Mothers With and Without Eating Disorder History-Findings From a Machine Learning Analysis of Speech Data.European eating disorders review : the journal of the Eating Disorders Association · 2026Article
- MetaEmo: a meta-learning and culturally adaptive framework for dynamic emotional recognition in cross-cultural classrooms.Frontiers in psychology · 2026Article
- An Enhanced Valence-Arousal Multimodal Emotion Dataset for Emotion Recognition.Scientific data · 2025Article
- Personalized Clustering for Emotion Recognition Improvement.Sensors (Basel, Switzerland) · 2024Article
- Fear Detection in Multimodal Affective Computing: Physiological Signals versus Catecholamine Concentration.Sensors (Basel, Switzerland) · 2022Article
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Authors and funding
7 authors.
Funding
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Abstract
WEMAC is a unique open multi-modal dataset that comprises physiological, speech, and self-reported emotional data records of 100 women, targeting Gender-based Violence detection. Emotions were elicited through visualizing a validated video set using an immersive virtual reality headset. The physiological signals captured during the experiment include blood volume pulse, galvanic skin response, and skin temperature. The speech was acquired right after the stimuli visualization to capture the final traces of the perceived emotion. Subjects were asked to annotate among 12 categorical emotions, several dimensional emotions with a modified version of the Self-Assessment Manikin, and liking and familiarity labels. The technical validation proves that all the targeted categorical emotions show a strong statistically significant positive correlation with their corresponding reported ones. That means that the videos elicit the desired emotions in the users in most cases. Specifically, a negative correlation is found when comparing fear and not-fear emotions, indicating that this is a well-portrayed emotional dimension, a specific, though not exclusive, purpose of WEMAC towards detecting gender violence.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.