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Noor, Mohammad Faizuddin Mohd; Ramsay, Andrew; Hughes, Stephen; Rogers, Simon; Williamson, John; Murray-Smith, Roderick (2014)
Languages: English
Types: Other
We demonstrate that front-of-screen targeting on mobile\ud 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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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