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)

Abstract

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
• Status: Published
• Refereed: Yes
• 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
• ISBN: 9781450324731
• Copyright Holders: Copyright © 2014 Association for Computing Machinery
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher.

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