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- W2070931068 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." @default.
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- W2070931068 date "2014-04-26" @default.
- W2070931068 modified "2023-09-23" @default.
- W2070931068 title "28 frames later" @default.
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- W2070931068 doi "https://doi.org/10.1145/2556288.2557148" @default.
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