On Improving Visual-Facial Emotion Recognition with Audio-lingual and Keyboard Stroke Pattern Information

In this paper, we investigate the possibility of improving the accuracy of visual-facial emotion recognition through use of additional (complementary)information. The investigation is based on three empirical studies that we have conducted involving human subjects and human observers. The studies we...

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Veröffentlicht in:	Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01 Jg. 1; S. 810 - 816
Hauptverfasser:	Tsihrintzis, George A., Virvou, Maria, Stathopoulou, Ioanna-Ourania, Alepis, Efthimios
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Washington, DC, USA IEEE Computer Society 09.12.2008 IEEE
Schriftenreihe:	ACM Conferences
Schlagworte:	affective user modeling Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems > Object recognition Emotion recognition empirical studies Face detection Face recognition Facial expression analysis Human computer interaction Human-centered computing > Human computer interaction (HCI) > Interaction devices Human-centered computing > Human computer interaction (HCI) > Interaction devices > Touch screens Human-centered computing > Human computer interaction (HCI) > Interaction paradigms Informatics Instruments Intelligent agent Keyboards multi-modal interfaces Psychology Speech visual-facial affect recognition human-computer interaction visual-facial affect recognition affective user modeling Facial expression analysis multi-modal interfaces empirical studies
ISBN:	9780769534961, 0769534961
Online-Zugang:	Volltext
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