Hands-free gesture control with a capacitive textile neckband

Publication Type Conference Paper
Authors Marco Hirsch, Jingyuan Cheng, Attila Reiss, Mathias Sundholm, Paul Lukowicz, Oliver Amft
Title Hands-free gesture control with a capacitive textile neckband
Abstract We present a novel sensing modality for hands-free gesture controlled user interfaces, based on active capacitive sensing. Four capacitive electrodes are integrated into a textile neckband, allowing continuous unobtrusive head movement monitoring. We explore the capability of the proposed system for recognising head gestures and postures. A study involving 12 subjects was carried out, recording data from 15 head gestures and 19 different postures. We present a quantitative evaluation based on this dataset, achieving an overall accuracy of 79.1% for head gesture recognition and 40.4% for distinguishing between head postures (69.9% when merging the most adjacent positions), respectively. These results indicate that our approach is promising for hands-free control interfaces. An example application scenario of this technology is the control of an electric wheelchair for people with motor impairments, where recognised gestures or postures can be mapped to control commands.
Date 2014
Proceedings Title Proceedings of 18th International Symposium on Wearable Computers (ISWC '14)
Publisher ACM
Pages 55–58
DOI 10.1145/2634317.2634328
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Friedrich-Alexander-Universität Erlangen-Nürnberg