Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
A system for remote recognition of emotions from a facial expression //Cognitive Sciences, Genomics and Bioinformatics (CSGB-2018). / Хазанкин, Григорий Романович; Малинин, Алексей Николаевич; Шмаков, Иван Сергеевич.
COGNITIVE SCIENCES, GENOMICS AND BIOINFORMATICS (CSGB-2018): Symposium. Abstracts. Новосибирск : Институт цитологии и генетики СО РАН, 2018. стр. 13.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - A system for remote recognition of emotions from a facial expression //Cognitive Sciences, Genomics and Bioinformatics (CSGB-2018)
AU - Хазанкин, Григорий Романович
AU - Малинин, Алексей Николаевич
AU - Шмаков, Иван Сергеевич
N1 - Khazankin, G. R. A system for remote recognition of emotions from a facial expression / G. R. Khazankin, A. Malinin, I. Shmakov // Cognitive Sciences, Genomics and Bioinformatics (CSGB-2018) : Symposium. Abstracts, Novosibirsk, 24 августа 2018 года. – Novosibirsk: ICG SB RAS, 2018. – P. 13. – DOI 10.18699/CSGB-2018-07.
PY - 2018/8/20
Y1 - 2018/8/20
N2 - Nowadays social networks are a commonplace platform for communication of many people. Users create web content, check out the content of others and send private messages. Network communication enables people to control their actions carefully, while anonymity allows them to act without reservations about getting unclosed. Therefore, it is interesting to find the relation between the real psychophysiological state of users and their various actions. This paper describes a method for collecting information of user’s emotional state based on its facial expressions and linking the data acquired to the user’s actions in a time.
AB - Nowadays social networks are a commonplace platform for communication of many people. Users create web content, check out the content of others and send private messages. Network communication enables people to control their actions carefully, while anonymity allows them to act without reservations about getting unclosed. Therefore, it is interesting to find the relation between the real psychophysiological state of users and their various actions. This paper describes a method for collecting information of user’s emotional state based on its facial expressions and linking the data acquired to the user’s actions in a time.
KW - FACIAL EXPRESSION
KW - AROUSAL
KW - VALENCE
KW - PSYCHOPHYSIOLOGY
KW - MACHINE LEARNING
KW - DATA STREAMS
U2 - https://doi.org/10.18699/CSGB-2018-07
DO - https://doi.org/10.18699/CSGB-2018-07
M3 - Conference contribution
SN - 978-5-91291-037-1
SP - 13
BT - COGNITIVE SCIENCES, GENOMICS AND BIOINFORMATICS (CSGB-2018)
PB - Институт цитологии и генетики СО РАН
CY - Новосибирск
T2 - 11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018
Y2 - 20 August 2018 through 25 August 2018
ER -
ID: 65203978