UC3M4Safety Database - WEMAC: Emotional labelling

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Miranda Calero, José Angel; Gutiérrez Martín, Laura; Martínez Rubio, Eva; Blanco Ruiz, María Ángeles; Sainz de Baranda Andújar, Clara; Romero Perales, Elena; Alboreca Fernández-Barredo, Bárbara; San Segundo Manuel, Rosa; López Ongil, Celia, 2022, "UC3M4Safety Database - WEMAC: Emotional labelling", https://doi.org/10.21950/RYUCLV, e-cienciaDatos, V3

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Description	EMPATIA-CM (Comprehensive Protection of Gender-based Violence Victims through Multimodal Affective Computing) is a research project that aims to generally understand the reactions of Gender-based Violence Victims to situations of danger, generate mechanisms for automatic detection of these situations and study how to react in a comprehensive, coordinated and effective way to protect them in the most optimal way possible. The emotional labelling file contains the labels reported by the participants (no Gender-based Violence Victims) after watching each clip of one of the two sets of 14 videos.
Subject	Engineering; Social Sciences
Keyword	Affective computing, Basic emotions, Audiovisual stimuli, Gender perspective, Gender-based violence, Machine Learning
Related Publication	Miranda, J. A., Rituerto-González, E., Gutiérrez-Martín, L., Luis-Mingueza, C., Canabal, M. F., Ramírez Bárcenas, A., Lanza-Gutiérrez, J. M., Peláez-Moreno, C., López-Ongil, C. (2022). WEMAC: Women and Emotion Multi-modal Affective Computing dataset. arXiv doi: 10.48550/arXiv.2203.00456
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License/Data Use Agreement	Custom Dataset Terms

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	04_DS_Labels_WEMAC_U4S.csv.cpt application/mac-compactpro - 65,3 KB Published Aug 4, 2023 3 Downloads MD5: a11b241b901817ff24fb1a69fa30f091 IMPORTANT NOTE: This file is encrypted. To obtain the password, you must send the DUA (Data Usage Agreement) available on this website https://www.uc3m.es/institute-gender-studies/DATASETS to uc3m4safety@uc3m.es DatosData	Access File File Access Public Download Options application/mac-compactpro Download Metadata Data File Citation EndNote XML RIS BibTeX
	04_DS_Labels_WEMAC_U4S_readme_v02.txt Texto plano - 10,3 KB Published Aug 4, 2023 2 Downloads MD5: 66b215cf85bf9afe03c391f0d6e47a3a DocumentaciónDocumentation	Preview "04_DS_Labels_WEMAC_U4S_readme_v02.txt" Access File File Access Public Download Options Texto plano Download Metadata Data File Citation EndNote XML RIS BibTeX Explore Options Read Text
	04_DS_Labels_WEMAC_U4S_volunteers_ID.tab.cpt application/mac-compactpro - 1,2 KB Published Aug 4, 2023 2 Downloads MD5: 3829af9c7b8761fd514c38b5aefeb71b IMPORTANT NOTE: This file is encrypted. To obtain the password, you must send the DUA (Data Usage Agreement) available on this website https://www.uc3m.es/institute-gender-studies/DATASETS to uc3m4safety@uc3m.es DatosData	Access File File Access Public Download Options application/mac-compactpro Download Metadata Data File Citation EndNote XML RIS BibTeX
	04_LabelsInstr_WEMAC_U4S.pdf.cpt application/mac-compactpro - 494,6 KB Published Aug 4, 2023 2 Downloads MD5: 355379fa1af36bf2b8428057d268fb21 IMPORTANT NOTE: This file is encrypted. To obtain the password, you must send the DUA (Data Usage Agreement) available on this website https://www.uc3m.es/institute-gender-studies/DATASETS to uc3m4safety@uc3m.es DocumentaciónDocumentation	Access File File Access Public Download Options application/mac-compactpro Download Metadata Data File Citation EndNote XML RIS BibTeX

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Dataset Persistent ID	doi:10.21950/RYUCLV
Publication Date	2022-06-01
Title	UC3M4Safety Database - WEMAC: Emotional labelling
Author	Miranda Calero, José Angel (Universidad Carlos III de Madrid) - ORCID: 0000-0002-7275-4616 Gutiérrez Martín, Laura (Universidad Carlos III de Madrid) - ORCID: 0000-0002-0679-7300 Martínez Rubio, Eva (Universidad Carlos III de Madrid) - ORCID: 0000-0002-9778-6016 Blanco Ruiz, María Ángeles (Universidad Carlos III de Madrid) - ORCID: 0000-0002-7920-5978 Sainz de Baranda Andújar, Clara (Universidad Carlos III de Madrid) - ORCID: 0000-0002-2456-1959 Romero Perales, Elena (Universidad Carlos III de Madrid) - ORCID: 0000-0001-7968-2806 Alboreca Fernández-Barredo, Bárbara (Universidad Carlos III de Madrid) - ORCID: 0000-0003-4540-0887 San Segundo Manuel, Rosa (Universidad Carlos III de Madrid) - ORCID: 0000-0002-1449-8175 López Ongil, Celia (Universidad Carlos III de Madrid) - ORCID: 0000-0001-9451-6611
Contact	Use email button above to contact. López Ongil, Celia (Universidad Carlos III de Madrid)
Description	EMPATIA-CM (Comprehensive Protection of Gender-based Violence Victims through Multimodal Affective Computing) is a research project that aims to generally understand the reactions of Gender-based Violence Victims to situations of danger, generate mechanisms for automatic detection of these situations and study how to react in a comprehensive, coordinated and effective way to protect them in the most optimal way possible. The emotional labelling file contains the labels reported by the participants (no Gender-based Violence Victims) after watching each clip of one of the two sets of 14 videos.
Subject	Engineering; Social Sciences
Keyword	Affective computing Basic emotions Audiovisual stimuli Gender perspective Gender-based violence Machine Learning
Related Publication	Miranda, J. A., Rituerto-González, E., Gutiérrez-Martín, L., Luis-Mingueza, C., Canabal, M. F., Ramírez Bárcenas, A., Lanza-Gutiérrez, J. M., Peláez-Moreno, C., López-Ongil, C. (2022). WEMAC: Women and Emotion Multi-modal Affective Computing dataset. arXiv doi: 10.48550/arXiv.2203.00456 https://arxiv.org/abs/2203.00456 Miranda, J. A., Rituerto-Gonzalez, E., Luis-Mingueza, C., Canabal, M. F., Barcenas, A. R., Lanza-Gutierrez, J. M., Pelaez-Moreno, C., Lopez-Ongil, C. (2022). Bindi: Affective Internet of Things to Combat Gender-based Violence. IEEE Internet of Things Journal doi: 10.1109/jiot.2022.3177256 https://doi.org/10.1109/jiot.2022.3177256
Notes	Ver en mapa/See map
Language	English
Production Date	2022-02-28
Grant Information	Comunidad de Madrid: Y2018/TCS-5046
Depositor	López Ongil, Celia
Deposit Date	2022-05-25
Time Period Covered	Start: 2020-10 ; End: 2021-04
Related Datasets	https://doi.org/10.21950/LUO1IZ; https://doi.org/10.21950/CXAAHR; https://doi.org/10.21950/U5DXJR; https://doi.org/10.21950/XKHCCW; https://doi.org/10.21950/FNUHKE

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