Carnegie Mellon University
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Contactless Gesture Recognition System Using Proximity Sensors

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journal contribution
posted on 2010-01-01, 00:00 authored by Heng-Tze Cheng, An Mei Chen, Ashu Razdan, Elliot Buller
In this paper, we present a novel contactless gesture recognition system using proximity sensors. A set of infrared signal feature extraction methods and a decision-tree-based gesture classifier are proposed. The system allows a user to interact with mobile devices using intuitive gestures, without touching the screen or wearing/holding any additional device. Evaluation results show that the system is low-power, and able to recognize 3D gestures with over 98% precision in real time.

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2010-01-01