Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Cheul Young Park"'
Autor:
Soowon Kang, Woohyeok Choi, Cheul Young Park, Narae Cha, Auk Kim, Ahsan Habib Khandoker, Leontios Hadjileontiadis, Heepyung Kim, Yong Jeong, Uichin Lee
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-21 (2023)
Abstract With the popularization of low-cost mobile and wearable sensors, several studies have used them to track and analyze mental well-being, productivity, and behavioral patterns. However, there is still a lack of open datasets collected in real-
Externí odkaz:
https://doaj.org/article/381b96d6e6524fae9a85bfe5dbc19026
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:912-923
The automated recognition of human emotions plays an important role in developing machines with emotional intelligence. Major research efforts are dedicated to the development of emotion recognition methods. However, most of the affective computing m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27cc68fa6aa2fbfdd5c45a8a11f5557e
https://doi.org/10.1109/jbhi.2022.3225330
https://doi.org/10.1109/jbhi.2022.3225330
Publikováno v:
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c39f77f34dd483f3d974e7cb7f1f2b11
https://doi.org/10.1145/3544549.3585616
https://doi.org/10.1145/3544549.3585616
Publikováno v:
CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dfd74b724d5094948fef4e698109bcd
https://doi.org/10.1145/3491102.3501944
https://doi.org/10.1145/3491102.3501944
Autor:
Soowon Kang, Auk Kim, Uichin Lee, Narae Cha, Mingyu Park, Sangsu Lee, Cheul Young Park, Jae-Gil Lee
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 4:1-28
Increasing number of researchers and designers are envisioning a wide range of novel proactive conversational services for smart speakers such as context-aware reminders and restocking household items. When initiating conversational interactions proa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa5df325c2b4cccc5e1792636a9fe0e4
https://doi.org/10.1145/3411810
https://doi.org/10.1145/3411810
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
The automated recognition of human emotions plays an important role in developing machines with emotional intelligence. However, most of the affective computing models are based on images, audio, videos and brain signals. There is a lack of prior stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::973564959788f37b3fc9331e75ecc89a
https://pubmed.ncbi.nlm.nih.gov/34891385
https://pubmed.ncbi.nlm.nih.gov/34891385
Autor:
Uichin Lee, Soowon Kang, Yong Jeong, Narae Cha, Cheul Young Park, Alice Oh, Leontios J. Hadjileontiadis, Ahsan H. Khandoker, Auk Kim
Publikováno v:
Scientific Data, Vol 7, Iss 1, Pp 1-16 (2020)
Scientific Data
Scientific Data
Recognizing emotions during social interactions has many potential applications with the popularization of low-cost mobile sensors, but a challenge remains with the lack of naturalistic affective interaction data. Most existing emotion datasets do no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f27b921631723a384eaa2b3dfc526199
https://doi.org/10.1038/s41597-020-00630-y
https://doi.org/10.1038/s41597-020-00630-y