Human Computer Interaction using Hand Gesture

被引:38
作者
Sharma, Ram Pratap [1 ]
Verma, Gyanendra K. [1 ]
机构
[1] Natl Inst Technol Kurukshetra, Kurukshetra 136119, Haryana, India
来源
ELEVENTH INTERNATIONAL CONFERENCE ON COMMUNICATION NETWORKS, ICCN 2015/INDIA ELEVENTH INTERNATIONAL CONFERENCE ON DATA MINING AND WAREHOUSING, ICDMW 2015/NDIA ELEVENTH INTERNATIONAL CONFERENCE ON IMAGE AND SIGNAL PROCESSING, ICISP 2015 | 2015年 / 54卷
关键词
Gestures recognition; Gesture technologies; Human-computer interaction; Static hand gesture; Vision-based gesture recognition;
D O I
10.1016/j.procs.2015.06.085
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this modern age the advancement in ubiquitous computing has made the use of natural user interface very much required. The presence of computers and making use of the facilities of human computer interaction in our societies will obviously bring and mark a positive impact on our societies. Either it was the day when the technologies had not been so advanced or todays when the technologies has been advanced so much that we spent most of our times to communicate, play, do our jobs with the machines and many more, even then human beings had used and are still using a broad range of gestures to communicate or interact with each other. Human gesture is a mode of non - verbal interaction medium and can provide the most intuitive, originative and natural way to interact with computers. Our main goal is to make the interaction between human and computer as natural as the interaction between humans. The objective of this paper is to recognize the static hand gesture images (i.e. frames) based on shapes and orientations of hand which is extracted from input video stream recorded in stable lighting and simple background conditions. We can use this vision based recognized gestures to control multimedia applications (like Windows Media Player, Windows Picture Manager, VLC Player etc.) running on computer using different gestural commands. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:721 / 727
页数:7
相关论文
共 15 条
[1]  
[Anonymous], 2006, COMMUNICATIONS APPL, P1
[2]  
[Anonymous], THESIS NATL I TECHNO
[3]  
[Anonymous], 2010, ACM
[4]   Real-Time Hand Gesture Detection and Recognition Using Bag-of-Features and Support Vector Machine Techniques [J].
Dardas, Nasser H. ;
Georganas, Nicolas D. .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2011, 60 (11) :3592-3607
[5]  
Hasan M.M., 2012, CANADIAN J IMAGE PRO, V3, P12
[6]  
Ibraheem N.A., 2013, International Journal of Applied Information Systems, V5, P24
[7]   Color Based Hand and Finger Detection Technology for User Interaction [J].
Kang, Sung Kwan ;
Nam, Mi Young ;
Rhee, Phill Kyu .
ICHIT 2008: INTERNATIONAL CONFERENCE ON CONVERGENCE AND HYBRID INFORMATION TECHNOLOGY, PROCEEDINGS, 2008, :229-236
[8]   Gesture recognition: A survey [J].
Mitra, Sushmita ;
Acharya, Tinku .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2007, 37 (03) :311-324
[9]   Hand Gesture Recognition using Neural Networks [J].
Murthy, G. R. S. ;
Jadon, R. S. .
2010 IEEE 2ND INTERNATIONAL ADVANCE COMPUTING CONFERENCE, 2010, :134-138
[10]  
Myers B.A., 1998, INTERACTIONS, V5, P44