Conference paper
Performance Analysis of Acoustic Emotion Recognition for In-Car Conversational Interfaces
Universal Access in Human-Computer Interaction. Ambient Interaction, pp.411-420
International Conference on Universal Access in Human-Computer Interaction (UAHCI) (Beijing, China, 22-Jul-2007–27-Jul-2007)
Lecture Notes in Computer Science (LNCS), 4555, Springer
2007
Abstract
The automotive industry are integrating more technologies into the standard new car kit. New cars often provide speech enabled communications such as voice-dial, as well as control over the car cockpit including entertainment systems, climate and satellite navigation. In addition there is the potential for a richer interaction between driver and car by automatically recognising the emotional state of the driver and responding intelligently and appropriately. Driver emotion and driving performance are often intrinsically linked and knowledge of the driver emotion can enable to the car to support the driving experience and encourage better driving. Automatically recognising driver emotion is a challenge and this paper presents a performance analysis of our in-car acoustic emotion recognition system.
Details
- Title
- Performance Analysis of Acoustic Emotion Recognition for In-Car Conversational Interfaces
- Authors
- Christian M Jones (Author) - University of the Sunshine Coast - Faculty of Science, Health and EducationI-M Jonsson (Author) - Stanford University
- Contributors
- Constantine Stephanidis (Editor)
- Publication details
- Universal Access in Human-Computer Interaction. Ambient Interaction, pp.411-420
- Conference details
- International Conference on Universal Access in Human-Computer Interaction (UAHCI) (Beijing, China, 22-Jul-2007–27-Jul-2007)
- Series
- Lecture Notes in Computer Science (LNCS); 4555
- Publisher
- Springer
- Date published
- 2007
- DOI
- 10.1007/978-3-540-73281-5_44
- ISSN
- 0302-9743
- Organisation Unit
- School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland; Engage Research Lab; School of Law and Society
- Language
- English
- Record Identifier
- 99450105202621
- Output Type
- Conference paper
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