Static hand gesture recognition and its application based on Support Vector Machines

被引：15
|
作者：
Liu, Yun [1 ]
Gan, Zhijie [1 ]
Sun, Yu [1 ]
机构：
[1] Qingdao Univ Sci & Technol, Dept Informat Sci & Technol, Qingdao 266061, Shandong, Peoples R China
来源：
PROCEEDINGS OF NINTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING | 2008年
关键词：
D O I：
10.1109/SNPD.2008.144
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Hand gesture recognition plays an important role in applications such as human computer interface, remote controlling, and virtual environments(VEs).An novel hand gesture recognition algorithm is proposed to identify whether the hand can meet the requirements of driving license test or not. The algorithm is mainly based on Hu moments and Support Vector Machines (SVMs). Firstly, Hu invariant moments are extracted into a vector of 7 dimensions. Then, a Support Vector Machines is used to find a decision border between the integrated hand and the defected hand. At testing time, a decision is taken using the previously learned SVMs. This algorithm brings a 3.5% error rate of identifying the hand.
引用
收藏
页码：517 / 521
页数：5
相关论文
共 50 条
  • [1] Static Hand Gesture Recognition Based on HOG Characters and Support Vector Machines
    Feng, Kai-ping
    Yuan, Fang
    2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA), 2013, : 936 - 938
  • [2] Hand Gesture Recognition based on sEMG signals using Support Vector Machines
    Pomboza-Junez, Gonzalo
    Terriza, Juan Holgado
    2016 IEEE 6TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - BERLIN (ICCE-BERLIN), 2016,
  • [3] Geometry-based Static Hand Gesture Recognition using Support Vector Machine
    Trong-Nguyen Nguyen
    Duc-Hoang Vo
    Huu-Hung Huynh
    Meunier, Jean
    2014 13TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION (ICARCV), 2014, : 769 - 774
  • [4] Static Hand Gesture Recognition Using Novel Convolutional Neural Network and Support Vector Machine
    Veronica, Parsipogu Glory
    Mokkapati, Ravi Kumar
    Jagupilla, Lakshmi Prasanna
    Santhosh, Chella
    INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING, 2023, 19 (09) : 131 - 141
  • [5] Hand Gesture Recognition using sEMG Signals Based on Support Vector Machine
    Chen, Wenjun
    Zhang, Zhen
    PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019), 2019, : 230 - 234
  • [6] Recognition of Static Hand Gesture
    Sadeddine, Khadidja
    Djeradi, Rachida
    Chelali, Fatma Zohra
    Djeradi, Amar
    PROCEEDINGS OF 2018 6TH INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2018, : 368 - 373
  • [7] Visual gesture recognition with color segmentation and support vector machines
    Zhou, H
    Ruan, QQ
    2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3, 2004, : 1443 - 1446
  • [8] Static Hand Gesture Recognition Based on Fusion of Moments
    Chatterjee, Subhamoy
    Ghosh, Dipak Kumar
    Ari, Samit
    INTELLIGENT COMPUTING, COMMUNICATION AND DEVICES, 2015, 309 : 429 - 434
  • [9] Vision Based Static Hand Gesture Recognition Techniques
    Sharrma, Ananyaa
    Khandelwal, Ayush
    Kaur, Kavleen
    Joshi, Shivani
    Upadhyay, Richa
    Prabhu, Sameer
    2017 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), 2017, : 705 - 709
  • [10] An Application of Speech Recognition with Support Vector Machines
    Eray, Osman
    Tokat, Sezai
    Iplikci, Serdar
    2018 6TH INTERNATIONAL SYMPOSIUM ON DIGITAL FORENSIC AND SECURITY (ISDFS), 2018, : 38 - 43
12345