A Survey on Hand Gesture Recognition

被引：25
|
作者：
Chen, Lingchen [1 ]
Wang, Feng [1 ]
Deng, Hui [1 ]
Ji, Kaifan [1 ]
机构：
[1] Kunming Univ Sci & Technol, Comp Technol Applicat Key Lab Yunnan Prov, Kunming, Peoples R China
来源：
2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND APPLICATIONS (CSA) | 2013年
关键词：
Human-Computer Interaction (HCI); Hand Gesture Recognition; Kinect;
D O I：
10.1109/CSA.2013.79
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Hand gesture recognition has become one of the key techniques of human-computer interaction (HCI). Many researchers are devoted in this field. In this paper, firstly the history of hand gesture recognition is discussed and the technical difficulties are also enumerated. Then, we analyze the definition of hand gesture and introduce the basic principle of it. The approaches for hand gesture recognition, such as vision-based, glove-based and depth-based, are contrasted briefly in this paper. But the former two methods are too simple and not natural enough. Currently, the new finger identification and hand gesture recognition technique with Kinect depth data is the most popular research direction. Finally, we discuss the application prospective of hand gesture recognition based on Kinect.
引用
收藏
页码：313 / 316
页数：4
相关论文
共 50 条
  • [1] A Survey Paper on Hand Gesture Recognition
    Nandwana, Bhumika
    Tazi, Satyanarayan
    Trivedi, Sheifalee
    Khunteta, Dinesh Kumar
    Vipparthi, Santosh Kumar
    2017 7TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT), 2017, : 147 - 152
  • [2] Survey on Real Time Hand Gesture Recognition
    Kakkoth, Sarang Suresh
    Gharge, Saylee
    2017 INTERNATIONAL CONFERENCE ON CURRENT TRENDS IN COMPUTER, ELECTRICAL, ELECTRONICS AND COMMUNICATION (CTCEEC), 2017, : 948 - 954
  • [3] A Survey of Hand Gesture Recognition Methods in Sign Language Recognition
    Suharjito
    Ariesta, Meita Chandra
    Wiryana, Fanny
    Kusuma, Gede Putra
    PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY, 2018, 26 (04): : 1659 - 1675
  • [4] Survey on 3D Hand Gesture Recognition
    Cheng, Hong
    Yang, Lu
    Liu, Zicheng
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2016, 26 (09) : 1659 - 1673
  • [5] A Survey on Hand Gesture Recognition for Simple Mouse Control
    Suriya, R.
    Vijayachamundeeswari, V.
    2014 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2014,
  • [6] A Survey on Hand Gesture Recognition in Context of Soft Computing
    Chaudhary, Ankit
    Raheja, J. L.
    Das, Karen
    Raheja, Sonia
    ADVANCED COMPUTING, PT III, 2011, 133 : 46 - +
  • [7] Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A Survey
    Theodoridou, Eleni
    Cinque, Luigi
    Mignosi, Filippo
    Placidi, Giuseppe
    Polsinelli, Matteo
    Tavares, Joao Manuel R. S.
    Spezialetti, Matteo
    IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2023, 53 (01) : 35 - 43
  • [8] Survey on vision-based dynamic hand gesture recognition
    Tripathi, Reena
    Verma, Bindu
    VISUAL COMPUTER, 2024, 40 (09): : 6171 - 6199
  • [9] Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey
    Jiang, Shuo
    Kang, Peiqi
    Song, Xinyu
    Lo, Benny P. L.
    Shull, Peter B.
    IEEE REVIEWS IN BIOMEDICAL ENGINEERING, 2022, 15 : 85 - 102
  • [10] A Survey on Hand Gesture Recognition Using Machine Learning and Infrared Information
    Nogales, Ruben
    Benalcazar, Marco E.
    APPLIED TECHNOLOGIES (ICAT 2019), PT II, 2020, 1194 : 297 - 311
12345