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HIM: Hand Gesture Recognition in Mobile-Learning
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 44 - Number 16 |
| Year of Publication: 2012 |
| Authors: Nitin Sharma, Harsh Sharma |
10.5120/6349-8695
|
Nitin Sharma, Harsh Sharma . HIM: Hand Gesture Recognition in Mobile-Learning. International Journal of Computer Applications. 44, 16 ( April 2012), 33-37. DOI=10.5120/6349-8695
Abstract
Mobile learning is the technology which makes many people around the world to learn by sitting at their home. So by considering the importance of the mobile learning the aim of this research is to build a system which makes the dumb people to learn and communicate with other people in the language which they know (hand sign language) and also the people who want to communicate with others without touching the keyboard or the mobile they can use their hand movements for such purpose. To achieve this, the research will implement the hand gesture recognition in mobile device which includes laptops, mobile phones, tablet pc. The methodology of this research involves the capturing video through camera, segmentation of the hand information from captured video, real time tracking and recognition of hand gesture, and store the gestures in database along with the text, when dumb people or the other people wants to communicate with each other the camera will capture their hand movements and match these movements in database, if match occurs then it will send the corresponding text to the people either in speech or text. If it does not match then the user can add this new gesture of the hand in database along with the text which will be enter by the user. This text will corresponds to the text form of that particular gesture of the hand
References
- Ayman Atia, Shin Takahashi, Kazuo Misue, and Jiro Tanaka,2009. UbiGesture: Customizing and Profiling Hand Gestures in Ubiquitous Environment , J. A. Jacko (Ed. ): Human-Computer Interaction, Part II, HCII 2009, LNCS 5611, pp. 141–150, 2009.
- Hojoon Park ,2008. A Method For Controlling The Mouse Movement using a Real Time Camera, Brown University ,Providence ,RI ,USA, Department of computer science.
- Paul Pocatilu, Adrian Pocovnicu,2010. Mobile learning Application Audit, 2010 informatica Economica vol 14, No 1.
- Qing Chen ,2007. A Basic introduction to opencv using Image Processing, School of Information Technology and engineering ,University of Ottawa.
- Shao Chun Li, KO Kang Chun, 2011. Apply Problem Based Learning in Mobile Learning Environment, 2011 11th IEEE International Conference on Advance Learning Technology.
- SCOE Information Technology,2011. Controlling computer using hand gesture recognition, Chapter 2, Requirement Gathering.
- Yazen Zhang, Jina Li, 2011. Application of 3G based mobile learning in teacher training, 2011 Fourth International Conference on Information and Computing.
- Yuan Jiugen, Xing Ruonam, Wang Jianmin, 2010. Applying Research of Mobile Learning Mode in Teaching, 2010 International Forum on Information Technology and Application.
- Yikai Fang, Kongqiao Wang, Jian Cheng, Hanqing Lu,2007. A Real Time Hand Gesture recognition Method, 2007 11th international conference.
- Pragti Garg, Naveen Aggarwal and Sanjeev Sofat 2009, Vision based Hand Gesture Recognition, World Academy of Science, Engineering and Technology 49 2009
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