Acting Emotions: a comprehensive dataset of elicited emotions
Abstract Emotions encompass physiological systems that can be assessed through biosignals like electromyography and electrocardiography. Prior investigations in emotion recognition have primarily focused on general population samples, overlooking the specific context of theatre actors who possess ex...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-02957-2 |
| _version_ | 1797275924889075712 |
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| author | Luís Aly Leonor Godinho Patricia Bota Gilberto Bernardes Hugo Plácido da Silva |
| author_facet | Luís Aly Leonor Godinho Patricia Bota Gilberto Bernardes Hugo Plácido da Silva |
| author_sort | Luís Aly |
| collection | DOAJ |
| description | Abstract Emotions encompass physiological systems that can be assessed through biosignals like electromyography and electrocardiography. Prior investigations in emotion recognition have primarily focused on general population samples, overlooking the specific context of theatre actors who possess exceptional abilities in conveying emotions to an audience, namely acting emotions. We conducted a study involving 11 professional actors to collect physiological data for acting emotions to investigate the correlation between biosignals and emotion expression. Our contribution is the DECEiVeR (DatasEt aCting Emotions Valence aRousal) dataset, a comprehensive collection of various physiological recordings meticulously curated to facilitate the recognition of a set of five emotions. Moreover, we conduct a preliminary analysis on modeling the recognition of acting emotions from raw, low- and mid-level temporal and spectral data and the reliability of physiological data across time. Our dataset aims to leverage a deeper understanding of the intricate interplay between biosignals and emotional expression. It provides valuable insights into acting emotion recognition and affective computing by exposing the degree to which biosignals capture emotions elicited from inner stimuli. |
| first_indexed | 2024-03-07T15:21:01Z |
| format | Article |
| id | doaj.art-7ccb3da1369345c8894161ad8f4c7b2c |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-07T15:21:01Z |
| publishDate | 2024-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-7ccb3da1369345c8894161ad8f4c7b2c2024-03-05T17:39:47ZengNature PortfolioScientific Data2052-44632024-01-0111111410.1038/s41597-024-02957-2Acting Emotions: a comprehensive dataset of elicited emotionsLuís Aly0Leonor Godinho1Patricia Bota2Gilberto Bernardes3Hugo Plácido da Silva4Faculty of Engineering, Department of Informatics Engineering, University of PortoInstituto de Telecomunicações, Instituto Superior Técnico, Department of BioengineeringInstituto de Telecomunicações, Instituto Superior Técnico, Department of BioengineeringFaculty of Engineering, Department of Informatics Engineering, University of PortoInstituto de Telecomunicações, Instituto Superior Técnico, Department of BioengineeringAbstract Emotions encompass physiological systems that can be assessed through biosignals like electromyography and electrocardiography. Prior investigations in emotion recognition have primarily focused on general population samples, overlooking the specific context of theatre actors who possess exceptional abilities in conveying emotions to an audience, namely acting emotions. We conducted a study involving 11 professional actors to collect physiological data for acting emotions to investigate the correlation between biosignals and emotion expression. Our contribution is the DECEiVeR (DatasEt aCting Emotions Valence aRousal) dataset, a comprehensive collection of various physiological recordings meticulously curated to facilitate the recognition of a set of five emotions. Moreover, we conduct a preliminary analysis on modeling the recognition of acting emotions from raw, low- and mid-level temporal and spectral data and the reliability of physiological data across time. Our dataset aims to leverage a deeper understanding of the intricate interplay between biosignals and emotional expression. It provides valuable insights into acting emotion recognition and affective computing by exposing the degree to which biosignals capture emotions elicited from inner stimuli.https://doi.org/10.1038/s41597-024-02957-2 |
| spellingShingle | Luís Aly Leonor Godinho Patricia Bota Gilberto Bernardes Hugo Plácido da Silva Acting Emotions: a comprehensive dataset of elicited emotions Scientific Data |
| title | Acting Emotions: a comprehensive dataset of elicited emotions |
| title_full | Acting Emotions: a comprehensive dataset of elicited emotions |
| title_fullStr | Acting Emotions: a comprehensive dataset of elicited emotions |
| title_full_unstemmed | Acting Emotions: a comprehensive dataset of elicited emotions |
| title_short | Acting Emotions: a comprehensive dataset of elicited emotions |
| title_sort | acting emotions a comprehensive dataset of elicited emotions |
| url | https://doi.org/10.1038/s41597-024-02957-2 |
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