4Y model: A novel approach for finger identification using KINECT

Abstract

In Human Computer Interaction (HCI), one of the recent research areas is Hand Gesture Recognition (HGR). In hand gesture recognition, finger identification and fingertip detection is a challenging work. Because of the enormous applications like sign language, human robot interaction, gesture based applications this area is gaining researchers' attention. In this paper, a novel approach of finger identification named as 4Y model, is proposed. This model is based on geometric calculations and general biometric features. The experimental result for the model gives up to 92% accuracy based on its inputs.