DocumentCode :
1994886
Title :
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
Link To Document :
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