Zobrazeno 1 - 10
of 50
pro vyhledávání: '"emotion dimensions"'
Autor:
Livia Petrescu, Cătălin Petrescu, Ana Oprea, Oana Mitruț, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu
Publikováno v:
Sensors, Vol 21, Iss 13, p 4519 (2021)
This paper focuses on the binary classification of the emotion of fear, based on the physiological data and subjective responses stored in the DEAP dataset. We performed a mapping between the discrete and dimensional emotional information considering
Externí odkaz:
https://doaj.org/article/6079cb099be749c2ad0c1b7256c6c97a
Autor:
Jeroen J. G. van Merriënboer, Krima Thakker, Rebekah Sugarman, Justin L. Sewell, Patricia S. O'Sullivan, Majnu John, John Young, Karen A. Friedman
Publikováno v:
Advances in Health Sciences Education, 26(5), 1463-1489. Springer, Cham
Cognitive Load Theory has emerged as an important approach to improving instruction in the health professions workplace, including patient handovers. At the same time, there is growing recognition that emotion influences learning through numerous cog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8afa1185d47104250776862ff6888732
https://doi.org/10.1007/s10459-021-10053-y
https://doi.org/10.1007/s10459-021-10053-y
Autor:
Ana Oprea, Gabriela Moise, Alin Moldoveanu, Catalin Petrescu, Oana Mitruț, Florica Moldoveanu, Livia Petrescu
Publikováno v:
Sensors
Volume 21
Issue 13
Sensors, Vol 21, Iss 4519, p 4519 (2021)
Sensors (Basel, Switzerland)
Volume 21
Issue 13
Sensors, Vol 21, Iss 4519, p 4519 (2021)
Sensors (Basel, Switzerland)
This paper focuses on the binary classification of the emotion of fear, based on the physiological data and subjective responses stored in the DEAP dataset. We performed a mapping between the discrete and dimensional emotional information considering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f542d65eec26409048746f69cd4b688
Akademický článek
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Akademický článek
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Autor:
Masato Akagi, Reda Elbarougy
Publikováno v:
O-COCOSDA
Feature selection is very important step to improve the accuracy of speech emotion recognition for many applications such as speech-to-speech translation system. Thousands of features can be extracted from speech signal however which features are the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebc3f14b0d2ccc70042bf2df00457a18
http://hdl.handle.net/10119/16100
http://hdl.handle.net/10119/16100
Autor:
Scherer, Klaus R., author, Shuman, Vera, author, Fontaine, Johnny J. R., author, Soriano, Cristina, author
Publikováno v:
Components of Emotional Meaning : A sourcebook, 2013, ill.
Externí odkaz:
https://doi.org/10.1093/acprof:oso/9780199592746.003.0019
Akademický článek
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Autor:
Masato Akagi, Xingfeng Li
Publikováno v:
O-COCOSDA/CASLRE
This paper proposes a newly revised three-layered model to improve emotion dimensions (valence, activation) estimation for bilingual scenario, using knowledge of commonalities and differences of human perception among multiple languages. Most of prev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4090cf553ead264fa583fc5c55bb629e
http://hdl.handle.net/10119/12998
http://hdl.handle.net/10119/12998
Autor:
Reda Elbarougy, Masato Akagi
Publikováno v:
Acoustical Science and Technology. 35(2):86-98
Most previous studies using the dimensional approach mainly focused on the direct relationship between acoustic features and emotion dimensions (valence, activation, and dominance). However, the acoustic features that correlate to valence dimension a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6e4e587c2894cf85ece452510575ce2
http://hdl.handle.net/10119/11935
http://hdl.handle.net/10119/11935