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  4. EREC-II in use. Studies on usability and suitability of a sensor system for affect detection and human performance monitoring
 
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2007
Conference Paper
Title

EREC-II in use. Studies on usability and suitability of a sensor system for affect detection and human performance monitoring

Abstract
Interest in emotion detection is increasing significantly. For research and development in the field of Affective Computing, in smart environments, but also for reliable non-lab medical and psychological studies or human performance monitoring, robust technologies are needed for detecting evidence of emotions in persons under everyday conditions. This paper reports on evaluation studies of the EREC-II sensor system for acquisition of emotionrelated physiological parameters. The system has been developed with a focus on easy handling, robustness, and reliability. Two sets of studies have been performed covering 4 different application fields: medical, human performance in sports, driver assistance, and multimodal affect sensing. Results show that the different application fields pose different requirements mainly on the user interface, while the hardware for sensing and processing the data proved to be in an acceptable state for use in different research domains.
Author(s)
Peter, Christian
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Schultz, Randolf
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Voskamp, Jörg  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Urban, Bodo  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Nowack, Nadine
Univ. Rostock
Janik, Hubert
Univ. Rostock
Kraft, Karin
Univ. Rostock
Göcke, Roland
Australian National University
Mainwork
Human-computer interaction. 12th international conference, HCI International 2007. Vol.3: HCI intelligent multimodal interaction environments  
Conference
International Conference on Human-Computer Interaction (HCI International) 2007  
DOI
10.1007/978-3-540-73110-8_50
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • emotion detection

  • physiological measurement

  • evaluation

  • affect detection

  • cognitive load

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