Track-based Gesture Recognition Method Based on Kinect

被引：0
|
作者：
Wang, Ying [1 ]
机构：
[1] Beijing Inst Fash Technol, Comp Informat Ctr, Beijing, Peoples R China
来源：
2016 INTERNATIONAL CONGRESS ON COMPUTATION ALGORITHMS IN ENGINEERING (ICCAE 2016) | 2016年
关键词：
gesture track recognition; Kinect;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents a new gesture track recognition method based on the depth image information received from the Kinect sensor. First, a Kinect sensor is used to obtain the coordinates of a moving arm. Then, the gesture tracks corresponding to these coordinates are analyzed. Matching and recognition of gesture tracks are implemented by performing golden section search. The results show that this track-based method is highly effective in gesture recognition.
引用
收藏
页码：152 / 157
页数：6
相关论文
共 50 条
  • [21] Maintenance robot motion control based on Kinect gesture recognition
    Ge, Lun
    Wang, Hongjun
    Xing, Jishou
    [J]. JOURNAL OF ENGINEERING-JOE, 2019, 2019 (23): : 8794 - 8796
  • [22] Sparse Representation for Kinect Based Hand Gesture Recognition System
    Xu, Zeke
    Huang, Zhenhao
    Zhao, Zhuoxiong
    Li, Zhiyuan
    Huang, Pengsen
    [J]. PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON ADVANCED ICT AND EDUCATION, 2013, 33 : 627 - 632
  • [23] Authentication Based on a Changeable Biometric using Gesture Recognition with the Kinect™
    Ducray, Benoit
    Cobourne, Sheila
    Mayes, Keith
    Markantonakis, Konstantinos
    [J]. 2015 INTERNATIONAL CONFERENCE ON BIOMETRICS (ICB), 2015, : 38 - 45
  • [24] Semantic matchmaking for Kinect-based posture and gesture recognition
    Ruta, Michele
    Scioscia, Floriano
    di Summa, Maria
    Ieva, Saverio
    Di Sciascio, Eugenio
    Sacco, Marco
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC), 2014, : 15 - 22
  • [25] A robot control system based on gesture recognition using Kinect
    [J]. Ma, B. (mabiaoeddy@gmail.com), 2013, Universitas Ahmad Dahlan (11):
  • [26] Ion track-based electronic elements
    Fink, D.
    Chandra, A.
    Fahrner, W. R.
    Hoppe, K.
    Winkelmann, H.
    Saad, A.
    Alegaonkar, P.
    Berdinsky, A.
    Grasser, D.
    Lorenz, R.
    [J]. VACUUM, 2008, 82 (09) : 900 - 905
  • [27] Calculating Track-Based Observables for the LHC
    Chang, Hsi-Ming
    Procura, Massimiliano
    Thaler, Jesse
    Waalewijn, Wouter J.
    [J]. PHYSICAL REVIEW LETTERS, 2013, 111 (10)
  • [28] Nuclear track-based biosensing: an overview
    Fink, Dietmar
    Munoz Hernandez, Gerardo
    Garcia Arellano, Humberto
    Vacik, Jiri
    Havranek, Vladimir
    Hnatowicz, Vladimir
    Kiv, Arik
    Alfonta, Lital
    [J]. RADIATION EFFECTS AND DEFECTS IN SOLIDS, 2016, 171 (1-2): : 173 - 185
  • [29] Superpixel-Based Hand Gesture Recognition With Kinect Depth Camera
    Wang, Chong
    Liu, Zhong
    Chan, Shing-Chow
    [J]. IEEE TRANSACTIONS ON MULTIMEDIA, 2015, 17 (01) : 29 - 39
  • [30] Gesture Detection and Recognition Fused with Multi-feature Based on Kinect
    Sang, Haifeng
    Li, Wei
    [J]. BIOMETRIC RECOGNITION, CCBR 2015, 2015, 9428 : 597 - 606
12345