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.
引用
收藏
页数：6
相关论文
共 50 条
  • [21] Static Vision Based Hand Gesture Recognition Using Principal Component Analysis
    Ahuja, Mandeep Kaur
    Singh, Amardeep
    2015 IEEE 3RD INTERNATIONAL CONFERENCE ON MOOCS, INNOVATION AND TECHNOLOGY IN EDUCATION (MITE), 2015, : 402 - 406
  • [22] Hand Gesture Recognition based on Skeleton of Point Clouds
    Wu, Shen
    Jiang, Feng
    Zhao, Debin
    2012 IEEE FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2012, : 566 - 569
  • [23] Integrating Color and Depth Cues for Static Hand Gesture Recognition
    Li, Jiaming
    Guo, Yulan
    Ma, Yanxin
    Lu, Min
    Zhang, Jun
    COMPUTER VISION, PT I, 2017, 771 : 295 - 306
  • [24] A Static Hand Gesture and Face Recognition System For Blind People
    Sharma, Saransh
    Jain, Samyak
    Khushboo
    2019 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN), 2019, : 534 - 539
  • [25] Static Hand Gesture Recognition Using Local Gabor Filter
    Gupta, Shikha
    Jaafar, Jafreezal
    Ahmad, Wan Fatimah Wan
    INTERNATIONAL SYMPOSIUM ON ROBOTICS AND INTELLIGENT SENSORS 2012 (IRIS 2012), 2012, 41 : 827 - 832
  • [26] Graph Spectral Domain Features for Static Hand Gesture Recognition
    Alwaely, Basheer
    Abhayaratne, Charith
    2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2019,
  • [27] A Static Hand Gesture Recognition Algorithm Based on Krawtchouk Moments
    Liu, Shuping
    Liu, Yu
    Yu, Jun
    Wang, Zengfu
    PATTERN RECOGNITION (CCPR 2014), PT II, 2014, 484 : 321 - 330
  • [28] Static Hand Gesture Recognition Based on Convolutional Neural Networks
    Pinto, Raimundo F., Jr.
    Borges, Carlos D. B.
    Almeida, Antonio M. A.
    Paula, Alis C., Jr.
    JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2019, 2019
  • [29] AUTOMATIC STATIC HAND GESTURE RECOGNITION USING TOF CAMERAS
    Oprisescu, Serban
    Rasche, Christoph
    Su, Bochao
    2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2012, : 2748 - 2751
  • [30] Static and Dynamic Hand Gesture Recognition for Indian Sign Language
    Susitha, A.
    Geetha, N.
    Suhirtha, R.
    Swetha, A.
    MACHINE LEARNING AND BIG DATA ANALYTICS (PROCEEDINGS OF INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND BIG DATA ANALYTICS (ICMLBDA) 2021), 2022, 256 : 48 - 66
12345