28 frames later: predicting screen touches from back-of-device grip changes

Noor, M. F. M., Ramsay, A. , Hughes, S., Rogers, S. , Williamson, J. and Murray-Smith, R. (2014) 28 frames later: predicting screen touches from back-of-device grip changes. In: CHI 2014: ACM CHI Conference on Human Factors in Computing Systems, Toronto, Canada, 26 April - 1 May 2014, pp. 2005-2008. ISBN 9781450324731 (doi: 10.1145/2556288.2557148)

89008.pdf - Accepted Version


Publisher's URL: http://dx.doi.org/10.1145/2556288.2557148


We demonstrate that front-of-screen targeting on mobile phones can be predicted from back-of-device grip manipulations. Using simple, low-resolution capacitive touch sensors placed around a standard phone, we outline a machine learning approach to modelling the grip modulation and inferring front-of-screen touch targets. We experimentally demonstrate that grip is a remarkably good predictor of touch, and we can predict touch position 200ms before contact with an accuracy of 18mm.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Murray-Smith, Professor Roderick and Rogers, Dr Simon and Williamson, Dr John and Hughes, Mr Stephen and Ramsay, Mr Andrew
Authors: Noor, M. F. M., Ramsay, A., Hughes, S., Rogers, S., Williamson, J., and Murray-Smith, R.
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2014 Association for Computing Machinery
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.
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