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Coming to Grips with the Objects we Grasp: Detecting Interactions with Efficient Wrist-Worn Sensors

Eugen Berlin (TU Darmstadt)
Jun Liu (TU Darmstadt)
Kristof Van Laerhoven (TU Darmstadt)
Bernt Schiele (TU Darmstadt)

Abstract

The use of a wrist-worn sensor that is able to read nearby RFID tags and the wearer's gestures has been suggested frequently to both detect the objects we interact with and to identify the interaction. Making such a prototype feasible for longer-term deployments is far from solved however, as plenty of challenges remain in the hardware, embedded algorithms, and the overall design of such a bracelet-like device. \ This paper presents several of the challenges that emerged during the development of a functioning prototype that is able to sense interaction data for several days. We focus in particular on RFID tag reading range optimization, efficient data logging methods, meaningful evaluation techniques, and long-term deployments.

Document

http://tei-conf.org/10/uploads/Program/p57.pdf

Links

Project website
http://www.ess.tu-darmstadt.de/projects/grasp

Porcupine2 website
with subversion repository containing hardware design, code, datasets, ...
http://porcupine2.sf.net

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