Abstract
Interest in emotion detection is increasing significantly. For research and development in the field of Affective Computing and emotion-aware interaction techniques, reliable and robust technology is needed for detecting emotional signs in users under everyday conditions. In this paper, a novel wearable system for measuring emotion-related physiological parameters is presented. Currently heart rate, skin conductivity, and skin temperature are taken; further sensors can easily be added. The system is very easy to use, robust, and suitable for mobile and long-time logging of data. It has an open architecture and can easily be integrated into other systems or applications. The system is designed for use in emotion research as well as in everyday affective applications.
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References
Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997)
Arafa, Y., Botelho, L.M., Bullock, A., Figueiredo, P., Gebhard, P., Höök, K., Mamdani, E.H., Paiva, A., Petta, P., Sengers, P., Vala, M.: Affective Interactions for in Real-time Applications: the SAFIRA Project (2004)
Interacting with Computers, vol. 14(2) (2002)
Interacting with Computers, vol. 16(4) (2004)
Reeves, B., Nass, C.: The Media Equation. Center for the Study of Language and Information (1996)
Haag, A., Goronzy, S., Schaich, P., Williams, J.: Emotion Recognition Using Bio-sensors: First Steps towards an Automatic System. In: André, et al. (eds.) Affective Dialogue Systems. Springer, Heidelberg (2004)
Picard, R., Scheirer, J.: The Galvactivator: A Glove that Senses and Communicates Skin Conductivity. In: 9th Intl. Conference on Human-Computer Interaction, New Orleans (2001)
Ebert, E.: Weiterentwicklung und Verifikation eines Messsystem zur Erfassung humanphysiologischer Sensordaten unter Berücksichtigung des SEVA-Konzepts. MsC Thesis, University of Rostock (2005)
BS 7986: Industrial process measurement and control – Data quality metrics (2004), Available from BSI Customer Services email www.ordersbsi-global.com
Henry, M.P.: Self-Validating Sensors – Towards Standards and Products. Automatione e Strumentazione (2001)
Zhou, F., Archer, N., Bowles, J., Clarke, D., Henry, M., Peter, C.: A general hardware platform for sensor validation. In: IEE Colloquium on intelligent and self-validating sensors, Oxford (1999)
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Peter, C., Ebert, E., Beikirch, H. (2005). A Wearable Multi-sensor System for Mobile Acquisition of Emotion-Related Physiological Data. In: Tao, J., Tan, T., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2005. Lecture Notes in Computer Science, vol 3784. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573548_89
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DOI: https://doi.org/10.1007/11573548_89
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29621-8
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