Performance Analysis of Accurate End Point Identification Method of Static Hand Gesture Recognition

被引：0
|
作者：
Dehankar, A., V [1 ]
Jain, Sanjeev [2 ]
Thakare, V. M. [3 ]
机构：
[1] PCE, Dept Comp Technol, Nagpur, Maharashtra, India
[2] Maa Vaishno Devi Univ, Jammu, India
[3] Amravati Univ, Dept CSE, Amravati, India
来源：
2017 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION, CONTROL AND AUTOMATION (ICCUBEA) | 2017年
关键词：
Hand Gesture Recognition; Static Gesture Recognition; Performance Analysis; Result Analysis;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Static Hand Gesture Recognition is an important area of research as it is used for developing a variety of useful applications in the domains like robotics, artificial intelligence, mobile games etc. Variety of useful methods is implemented to detect static hand gesture. In our previous study presented in [1] describes the implementation of Accurate End Point Identification (AEPI) Method for static hand gesture recognition. The AEPI method has been implemented to address the problems of varying background, luminance, blurring etc. Five different phases of AEPI method includes preprocessing, centroid detection, removal of unwanted objects, thinning and recognition which are already discussed in [1, 2]. In this paper, we present the result and performance analysis of AEPI method for all the possible input patterns of static hand gesture recognition.
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页数：6
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