AnglePose: robust, precise capacitive touch tracking via 3d orientation estimation

Rogers, S., Williamson, J., Stewart, C. and Murray-Smith, R. (2011) AnglePose: robust, precise capacitive touch tracking via 3d orientation estimation. In: CHI 2011 : ACM CHI Conference on Human Factors in Computing Systems, Vancouver, B.C., 7-12 May 2011, pp. 2575-2584. (doi:10.1145/1978942.1979318)

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Publisher's URL: http://dx.doi.org/10.1145/1978942.1979318

Abstract

We present a finger-tracking system for touch-based interaction which can track 3D finger angle in addition to position, using low-resolution conventional capacitive sensors, therefore compensating for the inaccuracy due to pose variation in conventional touch systems. Probabilistic inference about the pose of the finger is carried out in real-time using a particle filter; this results in an efficient and robust pose estimator which also gives appropriate uncertainty estimates. We show empirically that tracking the full pose of the finger results in greater accuracy in pointing tasks with small targets than competitive techniques. Our model can detect and cope with different finger sizes and the use of either fingers or thumbs, bringing a significant potential for improvement in one-handed interaction with touch devices. In addition to the gain in accuracy we also give examples of how this technique could open up the space of novel interactions.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Murray-Smith, Professor Roderick and Rogers, Dr Simon and Williamson, Dr John
Authors: Rogers, S., Williamson, J., Stewart, C., and Murray-Smith, R.
College/School:College of Science and Engineering > School of Computing Science

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
446171Multimodal,Negotiated interaction in mobile scenariosRoderick Murray-SmithEngineering & Physical Sciences Research Council (EPSRC)EP/E042740/1COM - COMPUTING SCIENCE