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Annotation Matters: A Comprehensive Study on Recognizing In..:
, In:
2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)
,
Yang, Hao-Chun
;
Lee, Chi-Chun
- p. 1-7 , 2019
Link:
https://doi.org/10.1109/ACII.2019.8925516
RT T1
2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)
: T1
Annotation Matters: A Comprehensive Study on Recognizing Intended, Self-reported, and Observed Emotion Labels using Physiology
UL https://suche.suub.uni-bremen.de/peid=ieee-8925516&Exemplar=1&LAN=DE A1 Yang, Hao-Chun A1 Lee, Chi-Chun YR 2019 SN 2156-8111 K1 Physiology K1 Biomedical monitoring K1 Electroencephalography K1 Feature extraction K1 Electrocardiography K1 Emotion recognition K1 Videos K1 emotion recognition K1 annotation K1 physiology K1 affective computing K1 mental process SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ACII.2019.8925516 DO https://doi.org/10.1109/ACII.2019.8925516 SF ELIB - SuUB Bremen
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