WEMAC: Women and Emotion Multi-modal Affective Computing dataset

WEMAC: Women and Emotion Multi-modal Affective Computing dataset

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...

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Main Authors: Jose A. Miranda Calero, Laura Gutiérrez-Martín, Esther Rituerto-González, Elena Romero-Perales, Jose M. Lanza-Gutiérrez, Carmen Peláez-Moreno, Celia López-Ongil
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-024-04002-8
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https://doi.org/10.1038/s41597-024-04002-8

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