Ubiquitous Affective Computing: A Review
Issued Date
2022-02-01
Resource Type
ISSN
1530437X
eISSN
15581748
Scopus ID
2-s2.0-85122099853
Journal Title
IEEE Sensors Journal
Volume
22
Issue
3
Start Page
1867
End Page
1881
Rights Holder(s)
SCOPUS
Bibliographic Citation
IEEE Sensors Journal Vol.22 No.3 (2022) , 1867-1881
Suggested Citation
Assabumrungrat R., Sangnark S., Charoenpattarawut T., Polpakdee W., Sudhawiyangkul T., Boonchieng E., Wilaiprasitporn T. Ubiquitous Affective Computing: A Review. IEEE Sensors Journal Vol.22 No.3 (2022) , 1867-1881. 1881. doi:10.1109/JSEN.2021.3138269 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/87587
Title
Ubiquitous Affective Computing: A Review
Other Contributor(s)
Abstract
This 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.