Title :
Contactless gesture recognition system using proximity sensors
Author :
Cheng, Heng-Tze ; Chen, An Mei ; Razdan, Ashu ; Buller, Elliot
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
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.
Keywords :
decision trees; feature extraction; gesture recognition; infrared detectors; low-power electronics; mobile computing; pattern classification; 3D gestures recognition; contactless gesture recognition system; decision tree-based gesture classifier; infrared signal feature extraction; mobile device; proximity sensor; Delay effects; Feature extraction; Gesture recognition; Light emitting diodes; Mobile handsets; Sensor systems;
Conference_Titel :
Consumer Electronics (ICCE), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-8711-0
DOI :
10.1109/ICCE.2011.5722510
