Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems
| Autor: | Michael Glodek, Martin Schels, Patrick Thiam, Ingo Siegert, Markus Kächele, Sascha Meudt, Miriam Schmidt-Wack, Gerald Krell, Ronald Böck, Andreas Wendemuth, Friedhelm Schwenker |
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| Rok vydání: | 2017 |
| Předmět: |
Facial expression
Modalities Computer science 05 social sciences Technical systems Context (language use) 02 engineering and technology Human–computer interaction 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Emotion recognition Multiple modalities Affect (linguistics) 050107 human factors Gesture |
| Zdroj: | Cognitive Technologies ISBN: 9783319436647 Companion Technology |
| Popis: | In general, humans interact with each other using multiple modalities. The main channels are speech, facial expressions, and gesture. But also bio-physiological data such as biopotentials can convey valuable information which can be used to interpret the communication in a dedicated way. A Companion-System can use these modalities to perform an efficient human-computer interaction (HCI). To do so, the multiple sources need to be analyzed and combined in technical systems. However, so far only few studies have been published dealing with the fusion of three or even more such modalities. This chapter addresses the necessary processing steps in the development of a multimodal system applying fusion approaches. |
| Databáze: | OpenAIRE |
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