Potential and Challenges of Body Area Networks for Affective Human Computer Interaction

Authors:
Julien Penders;Bernard Grundlehner;Ruud Vullers;Bert Gyselinckx
Affiliations:
Holst Centre / IMEC-NL, Eindhoven, The Netherlands 5656 AE;Holst Centre / IMEC-NL, Eindhoven, The Netherlands 5656 AE;Holst Centre / IMEC-NL, Eindhoven, The Netherlands 5656 AE;Holst Centre / IMEC-NL, Eindhoven, The Netherlands 5656 AE
Venue:
FAC '09 Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009
Year:
2009

Citing 3
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Toward Machine Emotional Intelligence: Analysis of Affective Physiological State

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Abstract

The Human++ program aims at achieving highly miniaturized, wireless, intelligent and autonomous body sensor nodes to assist our health, comfort and lifestyle. In this paper the concept of body area network is applied to wireless monitoring of emotions, thus opening a new, affective, dimension in human computer interaction. A prototype body area network targeting the monitoring of physiological responses from the autonomous system is introduced, and tested for the classification of discrete emotions. Using data fusion and regression analysis, we show that the wireless physiological data can be mapped in real-time to an estimation of an individual's arousal level. Results in a controlled environment are presented, and specific challenges that need to be overcome for a widespread use of the technology are discussed. Finally, we show how advances in micro-power generation devices may lead to fully autonomous systems in the future.