Abstract
This work presents a software framework for real time
multimodal affect recognition. The framework supports
categorical emotional models and simultaneous
classification of emotional states along different
dimensions. The framework also allows to incorporate
diverse approaches to multimodal fusion, proposed by the
current state of the art, as well as to adapt to
context-dependency of expressing emotions and to
different application requirements. The results of using
the framework in audio-video based emotion recognition of
an audience of different shows (this is a useful
information because emotions of co-located people affect
each other) confirm the capability of the framework to
provide desired functionalities conveniently and
demonstrate that use of contextual information increases
recognition accuracy. (21 refs.)
Original language | English |
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Title of host publication | 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops |
Place of Publication | Piscataway, NJ, USA |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
ISBN (Electronic) | 978-1-4244-4799-2 |
ISBN (Print) | 978-1-4244-4800-5 |
DOIs | |
Publication status | Published - 2009 |
MoE publication type | A4 Article in a conference publication |
Event | 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 - Amsterdam, Netherlands Duration: 10 Sept 2009 → 12 Sept 2009 |
Conference
Conference | 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 |
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Abbreviated title | ACII 2009 |
Country/Territory | Netherlands |
City | Amsterdam |
Period | 10/09/09 → 12/09/09 |
Keywords
- emotion recognition
- labeling
- mood