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Sensors 2013, 13(9), 11842-11860; doi:10.3390/s130911842

Human-Computer Interaction Based on Hand Gestures Using RGB-D Sensors

Departamento de Informática e Ingeniería de Sistemas (DIIS) and Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza, Zaragoza 50018, Spain
Centro Universitario de la Defensa (CUD) and Instituto de Investigación en Ingeniería de Aragón(I3A), Zaragoza 50090, Spain
Research and Development Department, Induction Technology, Product Division Cookers, BSH Home Appliances Group, Zaragoza 50016, Spain
Author to whom correspondence should be addressed.
Received: 26 June 2013 / Revised: 2 August 2013 / Accepted: 29 August 2013 / Published: 6 September 2013
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2013)
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In this paper we present a new method for hand gesture recognition based on an RGB-D sensor. The proposed approach takes advantage of depth information to cope with the most common problems of traditional video-based hand segmentation methods: cluttered backgrounds and occlusions. The algorithm also uses colour and semantic information to accurately identify any number of hands present in the image. Ten different static hand gestures are recognised, including all different combinations of spread fingers. Additionally, movements of an open hand are followed and 6 dynamic gestures are identified. The main advantage of our approach is the freedom of the user’s hands to be at any position of the image without the need of wearing any specific clothing or additional devices. Besides, the whole method can be executed without any initial training or calibration. Experiments carried out with different users and in different environments prove the accuracy and robustness of the method which, additionally, can be run in real-time.
Keywords: Kinect; depth sensors; RGB-D; gesture recognition Kinect; depth sensors; RGB-D; gesture recognition
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Palacios, J.M.; Sagüés, C.; Montijano, E.; Llorente, S. Human-Computer Interaction Based on Hand Gestures Using RGB-D Sensors. Sensors 2013, 13, 11842-11860.

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