Thracker - Using Capacitive Sensing for Gesture Recognition

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Raphael Wimmer Articles by Paul Holleis Articles by Matthias Kranz Articles by Albrecht Schmidt

26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06)

Lisboa, Portugal

July 04-July 07

ISBN: 0-7695-2541-5

	ASCII Text	x
	Raphael Wimmer, Paul Holleis, Matthias Kranz, Albrecht Schmidt, "Thracker - Using Capacitive Sensing for Gesture Recognition," Distributed Computing Systems Workshops, International Conference on, pp. 64, 26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06), 2006.

	BibTex	x
	@article{ 10.1109/ICDCSW.2006.109, author = {Raphael Wimmer and Paul Holleis and Matthias Kranz and Albrecht Schmidt}, title = {Thracker - Using Capacitive Sensing for Gesture Recognition}, journal ={Distributed Computing Systems Workshops, International Conference on}, volume = {0}, year = {2006}, issn = {1545-0678}, pages = {64}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDCSW.2006.109}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Distributed Computing Systems Workshops, International Conference on TI - Thracker - Using Capacitive Sensing for Gesture Recognition SN - 1545-0678 SP EP A1 - Raphael Wimmer, A1 - Paul Holleis, A1 - Matthias Kranz, A1 - Albrecht Schmidt, PY - 2006 KW - null VL - 0 JA - Distributed Computing Systems Workshops, International Conference on ER -

Raphael Wimmer, University of Munich, Germany

Paul Holleis, University of Munich, Germany

Matthias Kranz, University of Munich, Germany

Albrecht Schmidt, University of Munich, Germany

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDCSW.2006.109

In this paper we present Thracker - a low-cost and robust hardware to track hand gestures in front of a screen or small-scale active spaces like public displays or posters. Thracker uses capacitive sensing for tracking user input. Thracker allows for entire new interaction modes like picking and dropping an object on the screen with the hand. We present a fully working prototype and a short user study to confirm our findings.

Citation:

Raphael Wimmer, Paul Holleis, Matthias Kranz, Albrecht Schmidt, "Thracker - Using Capacitive Sensing for Gesture Recognition," icdcsw, pp.64, 26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06), 2006

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.