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Hand shape classification with a wrist contour sensor: development of a prototype device

Published:17 September 2011Publication History

ABSTRACT

In this paper, we describe a novel sensor device which recognizes hand shapes using wrist contours. Although hand shapes can express various meanings with small gestures, utilization of hand shapes as an interface is rare in domestic use. That is because a concise recognition method has not been established. To recognize hand shapes anywhere with no stress on the user, we developed a wearable wrist contour sensor device and a recognition system. In the system, features, such as sum of gaps, were extracted from wrist contours. We conducted a classification test of eight hand shapes, and realized approximately 70% classification rate.

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References

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    • Published in

      cover image ACM Conferences
      UbiComp '11: Proceedings of the 13th international conference on Ubiquitous computing
      September 2011
      668 pages
      ISBN:9781450306300
      DOI:10.1145/2030112

      Copyright © 2011 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 17 September 2011

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