The week's pick
Reseach Article
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
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