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Swiss-cheese extended: An object recognition method for ubiquitous interfaces based on capacitive proximity sensing

 
: Große-Puppendahl, Tobias; Braun, Andreas; Kamieth, Felix; Kuijper, Arjan

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Association for Computing Machinery -ACM-, Special Interest Group on Computer and Human Interaction -SIGCHI-:
CHI 2013. Changing perspectives. The 31st Annual CHI Conference on Human Factors in Computing Systems. Conference proceedings : 27 April - 2 May 2013, Paris, France
New York: ACM, 2013
ISBN: 978-1-4503-1899-0
pp.1401-1410
Conference on Human Factors in Computing Systems (CHI) <31, 2013, Paris>
English
Conference Paper
Fraunhofer IGD ()
3D Interaction; object recognition; object tracking; capacitive sensors; proximity sensing; pervasive interfaces; ubiquitous computing

Abstract
Swiss-Cheese Extended proposes a novel real-time method for recognizing objects with capacitive proximity sensors. Applying this technique to ubiquitous user interfaces, it is possible to detect the 3D-position of multiple human hands in different configurations above a surface that is equipped with a small number of sensors. The retrieved object configurations can significantly improve a user's interaction experience or an application's execution context, for example by detecting multi-hand zoom and rotation gestures or recognizing a grasping hand. We emphasize the broad applicability of the proposed method with a study of a multi-hand gesture recognition device. Swiss-Cheese Extended proposes a novel real-time method for recognizing objects with capacitive proximity sensors. Applying this technique to ubiquitous user interfaces, it is possible to detect the 3D-position of multiple human hands in different configurations above a surface that is equipped with a small number of sensors. The retrieved object configurations can significantly improve a user's interaction experience or an application's execution context, for example by detecting multi-hand zoom and rotation gestures or recognizing a grasping hand. We emphasize the broad applicability of the proposed method with a study of a multi-hand gesture recognition device.

: http://publica.fraunhofer.de/documents/N-268890.html