Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Shiro Kumano"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2024)
This paper introduces a novel approach to Item Response Theory (IRT) by incorporating deep learning to analyze student facial expressions to enhance the prediction and understanding of student responses to test items. This research is based on the as
Externí odkaz:
https://doaj.org/article/5bc3e03dce5e41d69ec7e95821927837
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract In everyday life, people sometimes find themselves making decisions on behalf of others, taking risks on another’s behalf, accepting the responsibility for these choices and possibly suffering regret for what they could have done different
Externí odkaz:
https://doaj.org/article/647b24c8c4d44187beb4ce883d68e7fa
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Interpersonal physiological synchrony has been shown to play important roles in social activities. While most studies have shed light on the effects of physiological synchrony on recognition of the group state, such as cohesion or togetherne
Externí odkaz:
https://doaj.org/article/ca93fa07d6a14a93abeacc2b4a413d55
Publikováno v:
Multimodal Technologies and Interaction, Vol 3, Iss 4, p 70 (2019)
We investigated the mouth-opening transition pattern (MOTP), which represents the change of mouth-opening degree during the end of an utterance, and used it to predict the next speaker and utterance interval between the start time of the next speaker
Externí odkaz:
https://doaj.org/article/87dec523d543421f96f2e5f64c6742e1
Autor:
Takayuki Ogasawara, Hanako Fukamachi, Kenryu Aoyagi, Shiro kumano, Hiroyoshi Togo, Koichiro Oka, Masumi Yamaguchi
Publikováno v:
Sports Engineering. 26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05d5c621ff9ca2a110d81576ebc6236c
https://doi.org/10.1007/s12283-023-00402-y
https://doi.org/10.1007/s12283-023-00402-y
Autor:
Takayuki Ogasawara, Hanako Fukamachi, Kenryu Aoyagi, Shiro Kumano, Hiroyoshi Togo, Koichiro Oka
Publikováno v:
2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac8fc09e0ac6e28c428194850bddc658
https://doi.org/10.1109/bibe55377.2022.00019
https://doi.org/10.1109/bibe55377.2022.00019
Publikováno v:
2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24c0bd5ceef49c384254fd5bdd4954e1
https://doi.org/10.1109/acii55700.2022.9953880
https://doi.org/10.1109/acii55700.2022.9953880
Publikováno v:
2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3780e2bc902e106957ae547487aaf0fe
https://doi.org/10.1109/acii55700.2022.9953867
https://doi.org/10.1109/acii55700.2022.9953867
Autor:
Hiroyoshi Togo, Ogasawara Takayuki, Koichiro Oka, Kenryu Aoyagi, Hanako Fukamachi, Shiro Kumano
Publikováno v:
IEEE Transactions on Human-Machine Systems. 51:221-228
A key skill in archery is the ability to suppress postural tremor while aiming at a target. Providing feedback during daily archery practice is a potentially effective way of suppressing tremor. However, postural tremor is subtle and difficult to mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1552c1e29ed4500f55abe8dccf3bdfa0
https://doi.org/10.1109/thms.2020.3046435
https://doi.org/10.1109/thms.2020.3046435
Publikováno v:
ACII
Towards explainable affective computing (XAC), researchers have invested considerable effort into post hoc approaches and reverse engineering to seek explanations for deep learning models. However, alternative, intrinsic approaches that aim to build
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d508ba5abdfc4b7dcd12d9579c8af00b
https://doi.org/10.1109/acii52823.2021.9597455
https://doi.org/10.1109/acii52823.2021.9597455