FAST HAND DETECTION AND GESTURE RECOGNITION

被引：0
作者：
Wang, Yuh-Rau [1 ]
Syu, Jia-Liang [2 ]
Li, Hsin-Ting [2 ]
Yang, Ling [3 ]
机构：
[1] St Johns Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan
[2] Tamkang Univ, Dept Elect Engn, Taipei, Taiwan
[3] St Johns Univ, Dept Mkt & Logist Management, Taipei, Taiwan
来源：
PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL. 1 | 2015年
关键词：
Discrete wavelet transform; Hand detection; Skin color detection; Gesture recognition;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A fast hand detection and gesture recognition method is proposed in this paper. To reduce the computation time, we employ symmetric mask-based discrete wavelet transform (SMDWT) to reduce the image resolution and then utilize the extracted characteristics to perform hand detection and gesture recognition. The proposed method reduces about 66% of the overall computation time. Experimental results show that the proposed real time hand detection and gesture recognition methods can detect fast and accurately, and can be implemented on embedded system easily. The average gesture recognition rate is around 97.5%.
引用
收藏
页码：408 / 413
页数：6
相关论文
共 50 条
  • [41] Hand Gesture Recognition for User Interaction in Augmented Reality (AR) Experience
    Khurshid, Aasim
    Grunitzki, Ricardo
    Estrada Leyva, Roberto Giordano
    Marinho, Fabiano
    Maia Souto Orlando, Bruno Matthaus
    VIRTUAL, AUGMENTED AND MIXED REALITY: DESIGN AND DEVELOPMENT, PT I, 2022, 13317 : 306 - 316
  • [42] Real-Time Hand Gesture Recognition for Robot Hand Interface
    Lv, Xiaomeng
    Xu, Yulin
    Wang, Ming
    LIFE SYSTEM MODELING AND SIMULATION, 2014, 461 : 209 - 214
  • [43] Robust Webcam-Based Hand Detection for Initialisation of Hand-Gesture Communication
    Strutz, Tilo
    Leipnitz, Alexander
    Senkel, Bjoern
    INTERACTIVE COLLABORATIVE ROBOTICS, ICR 2018, 2018, 11097 : 259 - 269
  • [44] Gesture Recognition and Multi-modal Fusion on a New Hand Gesture Dataset
    Schak, Monika
    Gepperth, Alexander
    PATTERN RECOGNITION APPLICATIONS AND METHODS, ICPRAM 2021, ICPRAM 2022, 2023, 13822 : 76 - 97
  • [45] Real-time hand gesture recognition for robot hand interface
    Lv, Xiaomeng
    Xu, Yulin
    Wang, Ming
    Communications in Computer and Information Science, 2014, 461 : 209 - 214
  • [46] Hand-Gesture Recognition for Automated Speech Generation
    Patel, Sunny
    Dhar, Ujjayan
    SurajGangwani
    Lad, Rohit
    Ahire, Pallavi
    2016 IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2016, : 226 - 231
  • [47] A Proposal for MMG-based Hand Gesture Recognition
    Yamakawa, Shumpei
    Nojima, Takuya
    ADJUNCT PROCEEDINGS OF THE 25TH ANNUAL ACM SYMPOSIUM ON USER INTERFACE SOFTWARE AND TECHNOLOGY, 2012, : 89 - 90
  • [48] Multiple-Classifiers Based Hand Gesture Recognition
    Li, Simin
    Ni, Zihan
    Sang, Nong
    PATTERN RECOGNITION (CCPR 2016), PT I, 2016, 662 : 155 - 163
  • [49] TraHGR: Transformer for Hand Gesture Recognition via Electromyography
    Zabihi, Soheil
    Rahimian, Elahe
    Asif, Amir
    Mohammadi, Arash
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2023, 31 : 4211 - 4224
  • [50] A novel set of features for continuous hand gesture recognition
    M. K. Bhuyan
    D. Ajay Kumar
    Karl F. MacDorman
    Yuji Iwahori
    Journal on Multimodal User Interfaces, 2014, 8 : 333 - 343
12345