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EREC - The Fraunhofer Sensor Glove

Overview
Description:

EREC (for Emotion RECognition) is a sensor system for measuring physiological parameters related to affect and emotion. The system has been developed for the human-computer interaction domain with special attention to ease of use, robustness, and minimal obtrusiveness. It is a wearable device in form of a glove and allows online and offline access to physiology data. Robust error handling algorithms and reliability checks provide for easy and convenient integration of EREC in other systems and applications. Monitored parameters are heart rate, skin conductivity, and skin temperature. EREC has been successfully used in several third-party studies in the fields of human-computer interaction, product evaluation, human performance monitoring, driver assistance and multimodal affect sensing.

Update November 2011: a Bluetooth version of the system is now available, consisting of just the glove and wrist pocket. Technical details upon request.
Update December 2011: EREC can now be ordered as commercial product. Contact Christian Peter for more information

Contact:

cpeter@ambertree.net

Language:

English, suport in German as well

Papers:

Peter, C., Ebert E., Beikirch, H. (2005). A Wearable Multi-Sensor System for Mobile Acquisition of Emotion-Related Physiological Data.
Proceedings of the 1st International Conference on Affective Computing and Intelligent Interaction, Beijing 2005. Springer Verlag Berlin, Heidelberg, New York, pp. 691-698.

Peter C., Schultz R., Voskamp J., Urban B., Nowack N., Janik H., Kraft K., Göcke R. (2007).
EREC-II in Use – Studies on Usability and Suitability of a Sensor System for Affect Detection and Human Performance Monitoring.
In: J. Jacko (Ed.): Human-Computer Interaction, Part III, HCII 2007, LNCS 4552, pp. 465–474, 2007.
© Springer-Verlag Berlin Heidelberg 2007. ISBN 978-3-540-73108-5

For downloads please go to http://www.igd-r.fraunhofer.de/cpeter/

Access:

Please contact Christian Peter
http://emotion-research.net/Members/ChristianPeter

Fact Sheet
Categorized by modality:
Biosignal
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