Clustering Method Evaluation for Hidden Markov Model Based Real- Time Gesture Recognition

被引：2
|
作者：
Prasad, Jay Shankar [1 ]
Nandi, G. C. [1 ]
机构：
[1] Indian Inst Informat Technol, Robot & AI Lab, Allahabad, Uttar Pradesh, India
来源：
2009 INTERNATIONAL CONFERENCE ON ADVANCES IN RECENT TECHNOLOGIES IN COMMUNICATION AND COMPUTING (ARTCOM 2009) | 2009年
关键词：
Clustering; HMM; Gesture;
D O I：
10.1109/ARTCom.2009.99
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：
This paper deals with the development of high performance real-time system for complex dynamic gesture recognition. The various motion features are extracted from the video frames which are used by HMM classifier. We used several clustering techniques for performance evaluation of the classifier. Our system vectorises gestures into sequential symbols both for training and testing. We found very encouraging results and the proposed method has potential application in the field of human machine interaction.
引用
收藏
页码：419 / 423
页数：5
相关论文
共 50 条
  • [31] A Hidden Markov Model for iris recognition method
    Wang Tong
    He Pi-Lian
    2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7, 2007, : 2379 - +
  • [32] Real-time facial expression recognition in the interactive game based on embedded hidden Markov model
    Zhou, XX
    Huang, XS
    Wang, YS
    INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS, IMAGING AND VISUALIZATION, PROCEEDINGS, 2004, : 144 - 148
  • [33] Gesture Recognition Technology of VR Piano Playing Teaching Game based on Hidden Markov Model
    Zeng, Min
    INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2024, 21 (04) : 760 - 772
  • [34] A Hidden Markov Model-Based Continuous Gesture Recognition System for Hand Motion Trajectory
    Elmezain, Mahmoud
    Al-Hamadi, Ayoub
    Appenrodt, Joerg
    Michaelis, Bernd
    19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 2008, : 424 - 427
  • [35] Hidden-Markov-Models-Based Dynamic Hand Gesture Recognition
    Wang, Xiaoyan
    Xia, Ming
    Cai, Huiwen
    Gao, Yong
    Cattani, Carlo
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2012, 2012
  • [36] Infrared Human Posture Recognition Method Based on Hidden Markov Model
    Cai, Xingquan
    Gao, Yufeng
    Li, Mengxuan
    Cho, Kyungeun
    ADVANCED MULTIMEDIA AND UBIQUITOUS ENGINEERING: FUTURETECH & MUE, 2016, 393 : 501 - 507
  • [37] A real-time recognition method of static gesture based on DSSD
    Yong Zhang
    Wenjun Zhou
    Yujie Wang
    Linjia Xu
    Multimedia Tools and Applications, 2020, 79 : 17445 - 17461
  • [38] A real-time recognition method of static gesture based on DSSD
    Zhang, Yong
    Zhou, Wenjun
    Wang, Yujie
    Xu, Linjia
    MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (25-26) : 17445 - 17461
  • [39] A probabilistic model for state sequence analysis in hidden Markov model for hand gesture recognition
    Sagayam, K. Martin
    Hemanth, D. Jude
    COMPUTATIONAL INTELLIGENCE, 2019, 35 (01) : 59 - 81
  • [40] Gesture Modeling by Hanklet-Based Hidden Markov Model
    Lo Presti, Liliana
    La Cascia, Marco
    Sclaroff, Stan
    Camps, Octavia
    COMPUTER VISION - ACCV 2014, PT III, 2015, 9005 : 529 - 546
12345