Contactless Gesture Recognition for Mobile Devices
Heng-Tze Cheng, An Mei Chen, Ashu Razdan, Elliot Buller · Figshare · 2018
While gesture interfaces become pervasive, most existing approaches are undesirable for mobile devices because of the high power consumption, or the inconvenience that users need to wear/hold specific sensors. In this paper, we present a contactless gesture recognition system for mobile devices 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 gestures with over 98% precision in real time.