Contactless Gesture Recognition for Mobile Devices.pdf (704.97 kB)
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journal contribution
posted on 2010-01-01, 00:00 authored by Heng-Tze Cheng, An Mei Chen, Ashu Razdan, Elliott BullerWhile 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.