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 Williamson, Dr John and Rogers, Dr Simon|
|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|