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pro vyhledávání: '"Chi-Keng Wu"'
Using Common Feature Extraction and Classification from Physiological Signals for Emotion Estimation
Autor:
Chi-Keng Wu, 吳季耕
96
For building a subject independent emotional recognition system, in this paper, we try to find out the physiological features that can best distinguish people's emotion. Different from other research, we proposed new features, and found out t
For building a subject independent emotional recognition system, in this paper, we try to find out the physiological features that can best distinguish people's emotion. Different from other research, we proposed new features, and found out t
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/81719773509223489647
Publikováno v:
IEEE Transactions on Affective Computing. 3:482-495
Human respiration has been reported as having great relevance to the emotional state. However, the respiration signal obtained using traditional biosensors not only reflects changing emotions and emotion intensities, but also contains motion artifact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1794824b494c5537bc43c3fa076bb4fe
https://doi.org/10.1109/t-affc.2012.14
https://doi.org/10.1109/t-affc.2012.14
Publikováno v:
nDS
In order to discover the relationship between music and the emotion that it may evoke, twenty-one features have been extracted to describe music. A feature selection algorithm called sequential floating forward selection (SFFS) is utilized to find di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96683b2b2dd2fe09a0301a5143849b87
https://doi.org/10.1109/nds.2011.6076843
https://doi.org/10.1109/nds.2011.6076843
Publikováno v:
WACI
The feasibility of real life affective detection using physiological signals is usually limited by biosensor noise and artifact. This is challenging in extracting the representative emotion features. In this paper a quasi-homogeneous segmentation alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ef9be1733c10deb37e6de6513bc365a
https://doi.org/10.1109/waci.2011.5953149
https://doi.org/10.1109/waci.2011.5953149
Autor:
Yen Kuang Yang, Cho-Yan Chen, Pau-Choo Chung, Chi-Keng Wu, Jeen-Shing Wang, E-Liang Chen, Chi-Jen Wang
Publikováno v:
IIH-MSP
Sustained attention is an important requirement when we are doing vigilant works. The detection of whether a worker is in sustained attention stage is important to maintain the safety of the worker. Thus this paper performs classification of sustaine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d1ae6cdd32d39006da86bfc9a9c8c75
https://doi.org/10.1109/iihmsp.2010.187
https://doi.org/10.1109/iihmsp.2010.187
Publikováno v:
2011 7th International Workshop on Multidimensional (nD) Systems (nDs); 2011, p1-4, 4p
Autor:
Cho-Yan Chen, Chi-Jen Wang, E-Liang Chen, Chi-Keng Wu, Yen Kuang Yang, Jeen-Shing Wang, Pau-Choo Chung
Publikováno v:
2010 Sixth International Conference on Intelligent Information Hiding & Multimedia Signal Processing (IIH-MSP); 2010, p372-375, 4p