Title :
Smart TV interaction system using face and hand gesture recognition
Author :
Sang-Heon Lee ; Myoung-Kyu Sohn ; Dong-Ju Kim ; Byungmin Kim ; Hyunduk Kim
Author_Institution :
Dept. IT Convergence, DGIST, Daegu, South Korea
Abstract :
In this paper, a face and hand gesture recognition system which can be applied to a smart TV interaction system is proposed. Human face and natural hand gesture are the key component to interact with smart TV system. The face recognition system is used in viewer authentication and the hand gesture recognition in control of smart TV, for example, volume up/down, channel changing. Personalized service such as favorite channels recommendation or parental guidance can be provided using face recognition. We show that the face recognition detection rate is about 99% and the face recognition rate is about 97% by using DGIST database. Also, hand detection rate is about 98% at distance of 1 meter, 1.5 meter, and 2 meter, respectively. Overall 5 type hand gesture recognition rate is about 80% using support vector machine (SVM).
Keywords :
digital television; face recognition; gesture recognition; interactive television; support vector machines; DGIST database; channel changing; face recognition; favorite channels recommendation; hand detection; hand gesture recognition; human face; natural hand gesture; parental guidance; personalized service; smart TV control; smart TV interaction system; support vector machine; viewer authentication; volume up/down; Face; Face detection; Face recognition; Feature extraction; Gesture recognition; Support vector machines; TV;
Conference_Titel :
Consumer Electronics (ICCE), 2013 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-1361-2
DOI :
10.1109/ICCE.2013.6486845
