Abstract
This paper presents the results of a qualitative study on elicitation and online detection of emotional states in users suffering from cerebral palsy (CP). Two questions stood in the focus of the study. Firstly, is an elicitation approach based on the international affective digitized sound system (IADS-2) database feasible for this user group? Secondly, is it possible to distinguish out of the measurements of the EDA sensor (Electro Dermal Activity) positive and negative emotional states? The results revealed high correlation between the findings in the study and the published IADS-2 standard [1]. These results has shown as well that it is possible to distinguish between positive and negative emotional states based on the measured EDA signals.
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Acknowledgements
The study was partially funded by the European Commission EC FP7-ICT; 2011-7-287774; ABC Augmented BNCI communication. The authors would like to acknowledge the support of the project partners AVAPACE and IBV, both from Valencia, Spain.
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Mohamad, Y., Nordbrock, G., Gappa, H., Velasco, C. (2016). Study on Elicitation and Detection of Emotional States with Disabled Users. In: Miesenberger, K., Bühler, C., Penaz, P. (eds) Computers Helping People with Special Needs. ICCHP 2016. Lecture Notes in Computer Science(), vol 9758. Springer, Cham. https://doi.org/10.1007/978-3-319-41264-1_76
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DOI: https://doi.org/10.1007/978-3-319-41264-1_76
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