Hand Gesture Recognition Using Object Based Key Frame Selection

被引：5
|
作者：
Rokade, Ulka S. [1 ]
Doye, Dharmpal [2 ]
Kokare, Manesh [2 ]
机构：
[1] PG Moze Coll Engg, Pune, Maharashtra, India
[2] SGGS Inst Engn & Tech, Nanded, India
来源：
ICDIP 2009: INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING, PROCEEDINGS | 2009年
关键词：
Sign language; Finite state machine; Dynamic time warping; Trajectory feature; VIDEO;
D O I：
10.1109/ICDIP.2009.74
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：
The sign language recognition is the most popular research area involving computer vision, pattern recognition and image processing. It enhances communication capabilities of the mute person. In this paper, we present an object based key frame selection. Hausdorff distance and Euclidean distance are used for shape similarity for hand gesture recognition. We proposed the use of nonlinear time alignment model with key frame selection facility and gesture trajectory features for hand gesture recognition. Experimental results demonstrate the effectiveness of our proposed scheme for recognizing American Sign Language.
引用
收藏
页码：288 / +
页数：2
相关论文
共 50 条
  • [31] A key frame selection-based facial expression recognition system
    Guo, S. M.
    Pan, Y. A.
    Liao, Y. C.
    Hsu, C. Y.
    Tsai, J. S. H.
    Chang, C. I.
    [J]. ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 3, PROCEEDINGS, 2006, : 341 - +
  • [32] Development of Hand Gesture Based Electronic Key Using Microsoft Kinect
    Ramadhani, Arief
    Rizal, Achmad
    Susanto, Erwin
    [J]. 1ST INTERNATIONAL CONFERENCE ON INDUSTRIAL, ELECTRICAL AND ELECTRONICS (ICIEE 2018), 2018, 218
  • [33] Hand Gesture Recognition using MYO Armband
    He, Shunzhan
    Yang, Chenguang
    Wang, Min
    Cheng, Long
    Hu, Zedong
    [J]. 2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 4850 - 4855
  • [34] ROS-based UAV Control Using Hand Gesture Recognition
    Yu, Yangguang
    Wang, Xiangke
    Zhong, Zhiwei
    Zhang, Yongwei
    [J]. 2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 6795 - 6799
  • [35] Point cloud based hand gesture recognition using template matching
    Zheng, Lingfei
    Hu, Zhubing
    Yao, Meiling
    Xu, Pengwei
    Ma, Jing
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2024, 46 (01) : 2615 - 2627
  • [36] Hand Gesture Recognition Using Contour based Method for Tabletop Surfaces
    Bellarbi, Abdelkader
    Belghit, Hayet
    Benbelkacem, Samir
    Zenati, Nadia
    Belhocine, Mahmoud
    [J]. 2013 10TH IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2013, : 832 - 836
  • [37] HAND TRAJECTORY-BASED GESTURE SPOTTING AND RECOGNITION USING HMM
    Elmezain, Mahmoud
    Al-Hamadi, Ayoub
    Michaelis, Bernd
    [J]. 2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, : 3577 - 3580
  • [38] Video based hand gesture recognition dataset using thermal camera
    Birkeland, Simen
    Fjeldvik, Lin Julie
    Noori, Nadia
    Yeduri, Sreenivasa Reddy
    Cenkeramaddi, Linga Reddy
    [J]. DATA IN BRIEF, 2024, 54
  • [39] Using Photoplethysmography for Simple Hand Gesture Recognition
    Subramanian, Karthik
    Savur, Celal
    Sahin, Ferat
    [J]. 2020 IEEE 15TH INTERNATIONAL CONFERENCE OF SYSTEM OF SYSTEMS ENGINEERING (SOSE 2020), 2020, : 307 - 312
  • [40] Hand Gesture Recognition using an Android Device
    Saxena, Ankita
    Jain, Deepak Kumar
    Singhal, Ananya
    [J]. 2014 FOURTH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT), 2014, : 819 - 822
12345