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

页码：313 / 316

页数：4

共 50 条

[31] A Simple Hand Segmentation for Gesture Recognition
Malina, Marek
Zacek, Jaroslav
[J]. INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017), 2018, 1978
[32] Independent hand gesture recognition in HandTalker
Gao, W
Wang, SL
[J]. IMAGE ANALYSIS APPLICATIONS AND COMPUTER GRAPHICS, 1995, 1024 : 443 - 450
[33] A lightweight architecture for hand gesture recognition
Dang, Tuan Linh
Pham, Trung Hieu
Dang, Quang Minh
Monet, Nicolas
[J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (18) : 28569 - 28587
[34] Contextualized Hand Gesture Recognition with Smartphones
Garcia-Ceja, Enrique
Brena, Ramon
Galvan-Tejada, Carlos E.
[J]. PATTERN RECOGNITION, MCPR 2014, 2014, 8495 : 122 - 131
[35] SPARSE REPRESENTATIONS FOR HAND GESTURE RECOGNITION
Poularakis, Stergios
Tsagkatakis, Grigorios
Tsakalides, Panagiotis
Katsavounidis, Ioannis
[J]. 2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 3746 - 3750
[36] Comparison of Hand Segmentation Methodologies for Hand Gesture Recognition
Howe, Lim Wei
Wong, Farrah
Chekima, Ali
[J]. INTERNATIONAL SYMPOSIUM OF INFORMATION TECHNOLOGY 2008, VOLS 1-4, PROCEEDINGS: COGNITIVE INFORMATICS: BRIDGING NATURAL AND ARTIFICIAL KNOWLEDGE, 2008, : 914 - 920
[37] Trajectory based hand gesture recognition
Popa, Daniel
Simion, Georgiana
Gui, Vasile
Otesteanu, Marius
[J]. CIMMACS '07: PROCEEDINGS OF THE 6TH WSEAS INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE, MAN-MACHINE SYSTEMS AND CYBERNETICS, 2007, : 115 - +
[38] Hand Gesture Recognition with Leap Motion
Feng, Lin
Du, Youchen
Liu, Shenglan
Xu, Li
Wu, Jie
Qiao, Hong
[J]. PROCEEDINGS OF THE FUTURE TECHNOLOGIES CONFERENCE (FTC) 2018, VOL 1, 2019, 880 : 46 - 54
[39] Hand Gesture Recognition by Thinning Method
Rokade, Rajeshree
Doye, Dharmpal
Kokare, Manesh
[J]. ICDIP 2009: INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING, PROCEEDINGS, 2009, : 284 - 287
[40] Vision based hand gesture recognition
Punjab Engineering College, CSE Deptt., Sector 12, Chandigarh, 160012, India
不详
[J]. World Acad. Sci. Eng. Technol., 2009, (1024-1029):

← 1 2 3 4 5 →