Emotion detection through biomedical signals: A pilot study
Emotions are affective states accompanied by physiological reactions that affect cognition processes such as decision making, perception, and learning. Emotion detection can be helpful in fields like education, sports and accident prevention. In this pilot study, we used biosensors to measure heart...
- Autores:
-
Contreras Ortiz, Sonia Helena
Martínez Santos, Juan Carlos
Campo Landines, Kiara Coralia
Domínguez Jiménez, Juan Antonio
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12190
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12190
- Palabra clave:
- Emotion;
Emotion Recognition;
Affective Computing
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Emotion detection through biomedical signals: A pilot study |
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Emotion detection through biomedical signals: A pilot study |
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Emotion detection through biomedical signals: A pilot study Emotion; Emotion Recognition; Affective Computing LEMB |
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Emotion detection through biomedical signals: A pilot study |
| title_full |
Emotion detection through biomedical signals: A pilot study |
| title_fullStr |
Emotion detection through biomedical signals: A pilot study |
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Emotion detection through biomedical signals: A pilot study |
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Emotion detection through biomedical signals: A pilot study |
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Contreras Ortiz, Sonia Helena Martínez Santos, Juan Carlos Campo Landines, Kiara Coralia Domínguez Jiménez, Juan Antonio |
| dc.contributor.author.none.fl_str_mv |
Contreras Ortiz, Sonia Helena Martínez Santos, Juan Carlos Campo Landines, Kiara Coralia Domínguez Jiménez, Juan Antonio |
| dc.subject.keywords.spa.fl_str_mv |
Emotion; Emotion Recognition; Affective Computing |
| topic |
Emotion; Emotion Recognition; Affective Computing LEMB |
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LEMB |
| description |
Emotions are affective states accompanied by physiological reactions that affect cognition processes such as decision making, perception, and learning. Emotion detection can be helpful in fields like education, sports and accident prevention. In this pilot study, we used biosensors to measure heart rate and galvanic skin response of twenty-eight volunteers (fourteen male, fourteen female). They were asked to watch video clips to elicit two target emotions: Amusement and anger. The purpose of this study was to determine the relationship between mean values of biosignals and emotional states (including amusement, anger and neutral state). From the analysis of variance, Fisher least significant difference and Multiple Range test, it was observed that emotions elicited with video clips influence mean values and other features of physiological signals with a confidence level of 90%. © SPIE. Downloading of the abstract is permitted for personal use only. |
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2018 |
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2018 |
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2023-07-19T21:18:04Z |
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2023-07-19T21:18:04Z |
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2023 |
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Artículo de revista |
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Domínguez-Jiménez, J. A., Campo-Landines, K. C., Martínez-Santos, J. C., & Contreras-Ortiz, S. H. (2018, December). Emotion detection through biomedical signals: a pilot study. In 14th International Symposium on medical information processing and analysis (Vol. 10975, pp. 40-49). SPIE. |
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https://hdl.handle.net/20.500.12585/12190 |
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10.1117/12.2511598 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Domínguez-Jiménez, J. A., Campo-Landines, K. C., Martínez-Santos, J. C., & Contreras-Ortiz, S. H. (2018, December). Emotion detection through biomedical signals: a pilot study. In 14th International Symposium on medical information processing and analysis (Vol. 10975, pp. 40-49). SPIE. 10.1117/12.2511598 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/12190 |
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eng |
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eng |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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openAccess |
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49 páginas |
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Cartagena de Indias |
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Contreras Ortiz, Sonia Helenavirtual::770-1Martínez Santos, Juan Carlosvirtual::2051-1Campo Landines, Kiara Coraliavirtual::5504-1Domínguez Jiménez, Juan Antoniovirtual::5658-12023-07-19T21:18:04Z2023-07-19T21:18:04Z20182023Domínguez-Jiménez, J. A., Campo-Landines, K. C., Martínez-Santos, J. C., & Contreras-Ortiz, S. H. (2018, December). Emotion detection through biomedical signals: a pilot study. In 14th International Symposium on medical information processing and analysis (Vol. 10975, pp. 40-49). SPIE.https://hdl.handle.net/20.500.12585/1219010.1117/12.2511598Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarEmotions are affective states accompanied by physiological reactions that affect cognition processes such as decision making, perception, and learning. Emotion detection can be helpful in fields like education, sports and accident prevention. In this pilot study, we used biosensors to measure heart rate and galvanic skin response of twenty-eight volunteers (fourteen male, fourteen female). They were asked to watch video clips to elicit two target emotions: Amusement and anger. The purpose of this study was to determine the relationship between mean values of biosignals and emotional states (including amusement, anger and neutral state). From the analysis of variance, Fisher least significant difference and Multiple Range test, it was observed that emotions elicited with video clips influence mean values and other features of physiological signals with a confidence level of 90%. © SPIE. Downloading of the abstract is permitted for personal use only.49 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Proceedings of SPIE - The International Society for Optical EngineeringEmotion detection through biomedical signals: A pilot studyArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_b1a7d7d4d402bcceEmotion;Emotion Recognition;Affective ComputingLEMBCartagena de IndiasCooper, C.L., Dewe, P. Stress: A Brief History (2008) Stress: A Brief History, pp. 1-144. Cited 30 times. http://onlinelibrary.wiley.com/book/10.1002/9780470774755 ISBN: 978-047077475-5; 1405107448; 978-140510744-0 doi: 10.1002/9780470774755Koelstra, S., Mühl, C., Soleymani, M., Lee, J.-S., Yazdani, A., Ebrahimi, T., Pun, T., (...), Patras, I. DEAP: A database for emotion analysis; Using physiological signals (2012) IEEE Transactions on Affective Computing, 3 (1), art. no. 5871728, pp. 18-31. Cited 2542 times. doi: 10.1109/T-AFFC.2011.15Rodgers, M.M., Pai, V.M., Conroy, R.S. Recent advances in wearable sensors for health monitoring (2015) IEEE Sensors Journal, 15 (6), art. no. 6899605, pp. 3119-3126. Cited 226 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361 doi: 10.1109/JSEN.2014.2357257Webster, J.G. Medical instrumentation-application and design (1978) Journal of Clinical Engineering, 3 (3), p. 306. Cited 25 times.Mukhopadhyay, S.C. Wearable sensors for human activity monitoring: A review (2015) IEEE Sensors Journal, 15 (3), art. no. 6974987, pp. 1321-1330. Cited 994 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361 doi: 10.1109/JSEN.2014.2370945Plutchik, R. (2003) Emotions and Life. Cited 348 times. Washington, DC: American Psychological AssociationKatsis, C.D., Katertsidis, N., Ganiatsas, G., Fotiadis, D.I. Toward emotion recognition in car-racing drivers: A biosignal processing approach (2008) IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, 38 (3), pp. 502-512. Cited 258 times. doi: 10.1109/TSMCA.2008.918624Villarejo, M.V., Zapirain, B.G., Zorrilla, A.M. A stress sensor based on galvanic skin response (GSR) controlled by ZigBee (2012) Sensors (Switzerland), 12 (5), pp. 6075-6101. Cited 202 times. http://www.mdpi.com/1424-8220/12/5/6075/pdf doi: 10.3390/s120506075Yoo, G., Seo, S., Hong, S., Kim, H. Emotion extraction based on multi bio-signal using back-propagation neural network (2018) Multimedia Tools and Applications, 77 (4), pp. 4925-4937. Cited 21 times. doi: 10.1007/s11042-016-4213-5Zong, C., Chetouani, M. Hilbert-Huang transform based physiological signals analysis for emotion recognition (2009) IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009, art. no. 5407547, pp. 334-339. Cited 88 times. ISBN: 978-142445950-6 doi: 10.1109/ISSPIT.2009.5407547Kim, H., Ha, J., Chang, W.-D., Park, W., Kim, L., Im, C.-H. Detection of craving for gaming in adolescents with internet gaming disorder using multimodal biosignals (2018) Sensors (Switzerland), 18 (1), art. no. 102. Cited 14 times. http://www.mdpi.com/1424-8220/18/1/102/pdf doi: 10.3390/s18010102Ali, M., Mosa, A.H., Machot, F.A., Kyamakya, K. Emotion recognition involving physiological and speech signals: A comprehensive review (2018) Studies in Systems, Decision and Control, 109, pp. 287-302. Cited 41 times. www.springer.com/series/13304 doi: 10.1007/978-3-319-58996-1_13Ratnarathorn, S. (2012) Design of A Stress Monitor Based on Breathing Signals Using A Smart Textile ShirYoo, J., Yan, L., Lee, S., Kim, H., Yoo, H.-J. A wearable ECG acquisition system with compact planar-fashionable circuit board-based shirt (Open Access) (2009) IEEE Transactions on Information Technology in Biomedicine, 13 (6), art. no. 5272225, pp. 897-902. Cited 157 times. doi: 10.1109/TITB.2009.2033053Chanel, G., Kronegg, J., Grandjean, D., Pun, T. Emotion assessment: Arousal evaluation using EEG's and peripheral physiological signals (2006) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4105 LNCS, pp. 530-537. Cited 251 times. https://www.springer.com/series/558 ISBN: 3540393927; 978-354039392-4 doi: 10.1007/11848035_70Reeve, J. (2014) [Understanding Motivation and Emotion]. Cited 766 times. John Wiley & SonsGross, J.J., Levenson, R.W. Emotional Suppression: Physiology, Self-Report, and Expressive Behavior (1993) Journal of Personality and Social Psychology, 64 (6), pp. 970-986. Cited 1182 times. doi: 10.1037/0022-3514.64.6.970Gross, J.J., Levenson, R.W. Emotion Elicitation using Films (1995) Cognition and Emotion, 9 (1), pp. 87-108. Cited 1480 times. doi: 10.1080/02699939508408966Philippot, P. Inducing and Assessing Differentiated Emotion-Feeling States in the Laboratory (Open Access) (1993) Cognition and Emotion, 7 (2), pp. 171-193. Cited 297 times. doi: 10.1080/02699939308409183Khalili, Z., Moradi, M.H. Emotion detection using brain and peripheral signals (2008) 2008 Cairo International Biomedical Engineering Conference, CIBEC 2008, art. no. 4786096. Cited 44 times. ISBN: 978-142442695-9 doi: 10.1109/CIBEC.2008.4786096Schaefer, A., Nils, F., Philippot, P., Sanchez, X. Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers (Open Access) (2010) Cognition and Emotion, 24 (7), pp. 1153-1172. Cited 568 times. doi: 10.1080/02699930903274322Schaefer, A. (2010) Assessing the Efiectiveness of A Large Database of Emotion-eliciting Films: A New Tool for Emotion Researchershttp://purl.org/coar/resource_type/c_6501Publication723611fc-2919-4d41-853e-34942846dd6evirtual::770-135de2f55-a620-47ac-97f2-9961adeac601virtual::2051-16b853197-bf46-45d0-b95d-ccf1af97a424virtual::5504-1a18f906f-f39a-4ca9-8d47-4fe82721bc99virtual::5658-1723611fc-2919-4d41-853e-34942846dd6evirtual::770-135de2f55-a620-47ac-97f2-9961adeac601virtual::2051-16b853197-bf46-45d0-b95d-ccf1af97a424virtual::5504-1a18f906f-f39a-4ca9-8d47-4fe82721bc99virtual::5658-1ORIGINALScopus - Document details - Emotion detection through biomedical signals_ A pilot study.pdfScopus - Document details - Emotion detection through biomedical signals_ A pilot study.pdfapplication/pdf173443https://repositorio.utb.edu.co/bitstreams/8228b998-4a84-409d-a111-2f6a27dd04c6/download04837b7dbd151aaf8604ca1a2ab62241MD51trueAnonymousREADCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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