FingerCloud: uncertainty and autonomy handover incapacitive sensing

Rogers, S. , Williamson, J. , Stewart, C. and Murray-Smith, R. (2010) FingerCloud: uncertainty and autonomy handover incapacitive sensing. In: Mynatt, E. and Schoner, D. (eds.) CHI '10: Proceedings of the 28th International Conference on Human Factors in Computing Systems, 12-15 April 2010, Atlanta, USA. Association for Computing Machinery: New York, NY, USA, pp. 577-580. ISBN 9781605589299 (doi: 10.1145/1753326.1753412)

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We describe a particle filtering approach to inferring finger movements on capacitive sensing arrays. This technique allows the efficient combination of human movement models with accurate sensing models, and gives high-fidelity results with low-resolution sensor grids and tracks finger height. Our model provides uncertainty estimates, which can be linked to the interaction to provide appropriately smoothed responses as sensing perfomance degrades; system autonomy is increased as estimates of user behaviour become less certain. We demonstrate the particle filter approach with a map browser running with a very small sensor board, where finger position uncertainty is linked to autonomy handover.

Item Type:Book Sections
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.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
Publisher:Association for Computing Machinery

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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