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Emotion detection through biomedical signals: A pilot study

dc.contributor.authorDomínguez-Jiménez, J. A.
dc.contributor.authorCampo-Landines, K. C.
dc.contributor.authorMartínez-Santos, J. C.
dc.contributor.authorContreras-Ortiz, S. H.
dc.date.accessioned2023-07-19T21:18:04Z
dc.date.available2023-07-19T21:18:04Z
dc.date.issued2018
dc.date.submitted2023
dc.identifier.citationDomínguez-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.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/12190
dc.description.abstractEmotions 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.spa
dc.format.extent49 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceProceedings of SPIE - The International Society for Optical Engineeringspa
dc.titleEmotion detection through biomedical signals: A pilot studyspa
dcterms.bibliographicCitationCooper, 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: 10.1002/9780470774755spa
dcterms.bibliographicCitationKoelstra, 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.2011.15spa
dcterms.bibliographicCitationRodgers, 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.2014.2357257spa
dcterms.bibliographicCitationWebster, J.G. Medical instrumentation-application and design (1978) Journal of Clinical Engineering, 3 (3), p. 306. Cited 25 times.spa
dcterms.bibliographicCitationMukhopadhyay, 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.2014.2370945spa
dcterms.bibliographicCitationPlutchik, R. (2003) Emotions and Life. Cited 348 times. Washington, DC: American Psychological Associationspa
dcterms.bibliographicCitationKatsis, 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.2008.918624spa
dcterms.bibliographicCitationVillarejo, 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/s120506075spa
dcterms.bibliographicCitationYoo, 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/s11042-016-4213-5spa
dcterms.bibliographicCitationZong, 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.2009.5407547spa
dcterms.bibliographicCitationKim, 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/s18010102spa
dcterms.bibliographicCitationAli, 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_13spa
dcterms.bibliographicCitationRatnarathorn, S. (2012) Design of A Stress Monitor Based on Breathing Signals Using A Smart Textile Shirspa
dcterms.bibliographicCitationYoo, 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.2009.2033053spa
dcterms.bibliographicCitationChanel, 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_70spa
dcterms.bibliographicCitationReeve, J. (2014) [Understanding Motivation and Emotion]. Cited 766 times. John Wiley & Sonsspa
dcterms.bibliographicCitationGross, 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: 10.1037/0022-3514.64.6.970spa
dcterms.bibliographicCitationGross, J.J., Levenson, R.W. Emotion Elicitation using Films (1995) Cognition and Emotion, 9 (1), pp. 87-108. Cited 1480 times. doi: 10.1080/02699939508408966spa
dcterms.bibliographicCitationPhilippot, 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: 10.1080/02699939308409183spa
dcterms.bibliographicCitationKhalili, 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.2008.4786096spa
dcterms.bibliographicCitationSchaefer, 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: 10.1080/02699930903274322spa
dcterms.bibliographicCitationSchaefer, A. (2010) Assessing the Efiectiveness of A Large Database of Emotion-eliciting Films: A New Tool for Emotion Researchersspa
datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_b1a7d7d4d402bccespa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasversioninfo:eu-repo/semantics/draftspa
dc.identifier.doi10.1117/12.2511598
dc.subject.keywordsEmotion;spa
dc.subject.keywordsEmotion Recognition;spa
dc.subject.keywordsAffective Computingspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
dc.type.spahttp://purl.org/coar/resource_type/c_6501spa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_6501spa


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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.