Ubiquitous Affective Computing: A Review

dc.contributor.authorAssabumrungrat R.
dc.contributor.authorSangnark S.
dc.contributor.authorCharoenpattarawut T.
dc.contributor.authorPolpakdee W.
dc.contributor.authorSudhawiyangkul T.
dc.contributor.authorBoonchieng E.
dc.contributor.authorWilaiprasitporn T.
dc.contributor.otherMahidol University
dc.date.accessioned2023-06-22T11:22:16Z
dc.date.available2023-06-22T11:22:16Z
dc.date.issued2022-02-01
dc.description.abstractThis review investigated research works on affective computing by using electrocardiogram (ECG) and electrodermal activity (EDA). The 27 related research papers, including 23 from IEEE Journals and 4 from other Q1 Journals in the last five years, were studied. The main goals have been to summarize common trends in this field in recent years as well as provide discussions and a big picture of how future research should be done. The content of this review covers the fundamental pipeline of affective computing research consisting of stimuli, intelligent affective computing, and sensor design and data processing. Additionally, we discuss future research directions and potential applications, including stress monitoring, music cognition, and robotics, where ECG and EDA will play a significant role with wearable devices. Therefore, this review serves as an information summary for everyone who is interested in affective computing and improving AI's understanding of human emotion.
dc.identifier.citationIEEE Sensors Journal Vol.22 No.3 (2022) , 1867-1881
dc.identifier.doi10.1109/JSEN.2021.3138269
dc.identifier.eissn15581748
dc.identifier.issn1530437X
dc.identifier.scopus2-s2.0-85122099853
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/87587
dc.rights.holderSCOPUS
dc.subjectPhysics and Astronomy
dc.titleUbiquitous Affective Computing: A Review
dc.typeReview
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122099853&origin=inward
oaire.citation.endPage1881
oaire.citation.issue3
oaire.citation.startPage1867
oaire.citation.titleIEEE Sensors Journal
oaire.citation.volume22
oairecerif.author.affiliationVidyasirimedhi Institute of Science and Technology
oairecerif.author.affiliationKorea Advanced Institute of Science and Technology
oairecerif.author.affiliationMahidol University
oairecerif.author.affiliationTohoku University
oairecerif.author.affiliationChiang Mai University

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