Speed-dependent automatic zooming for browsing large documents
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
It's a long way to Monte Carlo: probabilistic display in GPS navigation
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
HybridTouch: an intuitive manipulation technique for PDAs using their front and rear surfaces
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
Control centric approach in designing scrolling and zooming user interfaces
International Journal of Human-Computer Studies
The performance of hand postures in front- and back-of-device interaction for mobile computing
International Journal of Human-Computer Studies
Back-of-device interaction allows creating very small touch devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Double-side multi-touch input for mobile devices
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
AnglePose: robust, precise capacitive touch tracking via 3d orientation estimation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
GaussSense: attachable stylus sensing using magnetic sensor grid
Proceedings of the 25th annual ACM symposium on User interface software and technology
A user-specific machine learning approach for improving touch accuracy on mobile devices
Proceedings of the 25th annual ACM symposium on User interface software and technology
Machine learning models for uncertain interaction
Adjunct proceedings of the 25th annual ACM symposium on User interface software and technology
Focused and casual interactions: allowing users to vary their level of engagement
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User-specific touch models in a cross-device context
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
Touch tracking with a particle filter
Machine Vision and Applications
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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.