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

Author

Al Marouf, Ahmed ; Shondipon, Shaumic ; Kamrul Hasan, Md. ; Mahmud, Hasan

Author_Institution

Dept. of Comput. Sci. & Eng., Islamic Univ. of Technol., Gazipur, Bangladesh

fYear

2015

fDate

9-11 July 2015

Firstpage

183

Lastpage

188

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.

Keywords

feature extraction; fingerprint identification; gesture recognition; human computer interaction; image sensors; object detection; 4Y model; HCI; HGR; KINECT sensor; finger identification; fingertip detection; general biometric features; geometric calculations; gesture based applications; hand gesture recognition; human computer interaction; human robot interaction; sign language; Biological system modeling; Gesture recognition; Human computer interaction; Indexes; Mathematical model; Thumb; Human Computer Interaction (HCI); biometric features; finger identification; fingertip detection; hand gesture recognition (HGR);

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Trends in Information Systems (ReTIS), 2015 IEEE 2nd International Conference on

Conference_Location

Kolkata

Type

conf

DOI

10.1109/ReTIS.2015.7232875

Filename

7232875