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CapTable and CapShelf - Unobtrusive activity recognition using networked capacitive sensors

 
: Wimmer, R.; Kranz, M.; Boring, S.; Schmidt, A.

:

Institute of Electrical and Electronics Engineers -IEEE-:
Networked sensing systems. INSS '07, Fourth International Conference on Networked Sensing Systems : June 6-8, 2007, Braunschweig, Germany
New York, NY: IEEE, 2007
ISBN: 1-4244-1231-5
S.85-88
International Conference on Networked Sensing Systems (INSS) <4, 2007, Braunschweig>
Englisch
Konferenzbeitrag
Fraunhofer IAIS ()

Abstract
In this paper we introduce two pieces of activity-sensing furniture using networked capacitive sensors. Cap Table and CapShelf are two example applications for activity detection and context acquisition realized with the CapSensing Toolkit [1]. Both instances are representatives of a greater class of scenarios where networked sensing can compete with other technologies. CapTable is a simple wooden table equipped with capacitive sensors. Hand and body motion can be tracked above and around the table with high resolution. Additionally, conductive and non-conductive objects can be tracked and discriminated. The same features apply to CapShelf, a shelf that can monitor where people are reaching, and partially track the amount of items still in the shelf. We argue, that capacitive sensors provide huge benefits for real-world, privacy-sensitive, and unobtrusive data acquisition and implicit human-computer interaction.

: http://publica.fraunhofer.de/dokumente/N-188023.html