An efficient interpretation of hand gestures to control smart interactive television

摘要

In the recent era of smart world, smarter technologies are gaining focus on human computer interaction (HC1) systems, and traditional ways like remote control, mouse, keyboard, etc. are becoming less popular. This paper presents a framework of simple yet efficient approach for future applications of the new age smart and intelligent technologies that shall enhance the HCI specifically for smart television. Hand gesture recognition (HGR)-based model is proposed for wireless control of smart interactive television (S1TV), which includes controlling volume and selecting channels. The proposed framework undergoes three steps: 1) the hand gesture of the person is detected by using shape, colour and skin similarity; 2) the extracted features are classified by using rule-based classification and a gesture code is generated; 3) the classified gesture is interpreted by a novel interpreter. The performance of the proposed framework is evaluated with different people's hand gestures and compared with the techniques of others.