most citedWisture: RNN-based Learning of Wireless Signals for Gesture Recognition in Unmodified Smartphones

19 citations · 19 across the 1 of their papers we have counts for

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1 paper

cs.HC2017★ 19 cited

Wisture: RNN-based Learning of Wireless Signals for Gesture Recognition in Unmodified Smartphones

Mohamed Abudulaziz Ali Haseeb, Ramviyas Parasuraman

This paper introduces Wisture, a new online machine learning solution for recognizing touch-less dynamic hand gestures on a smartphone. Wisture relies on the standard Wi-Fi Receive…