Hand Motion Recognition
K.D. Yesugade1, Sheetal Salunke2, Ketaki Shinde3, Snehal Gaikwad4, Meenakshi Shingare5
1Prof. K.D. Yesugade Department of Computer Science, Pune University, Bharati Vidhyapeeth Collage of Engineering, Women’s BVCOEW, Pune (Maharashtra), India.
2Sheetal G. Salunke, Department of Computer Science, Pune University, Bharati Vidhyapeeth Collage of Engineering, Women’s BVCOEW, Pune (Maharashtra), India.
3Ketaki A. Shinde, Department of Computer Science, Pune University, Bharati Vidhyapeeth Collage of Engineering, Women’s BVCOEW, Pune (Maharashtra), India.
4Snehal C. Gaikwad, Department of Computer Science, Pune University, Bharati Vidhyapeeth Collage of Engineering, Women’s BVCOEW, Pune (Maharashtra), India.
5Meenakshi M. Shingare, Department of Computer Science, Pune University, Bharati Vidhyapeeth Collage of Engineering, Women’s BVCOEW, Pune (Maharashtra), India.
Manuscript received on 6 April 2014 | Revised Manuscript received on 17 April 2014 | Manuscript Published on 30 April 2014 | PP: 55-61 | Volume-3 Issue-11, April 2014 | Retrieval Number: K15890431114/14©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Hand gesture recognition system can be used for interfacing between computer and human using hand gesture. This work presents a technique for a human computer interface through hand gesture recognition that is able to recognize 25 frams per second. The motive for designing this project is to recognize dynamic hand motions in runtime without using any external hardware. The key features of this project are customizable palm motion and backward compatibility within low cost. There is no need of any high definition camera or any costly hardware, used for recognition of hand gestures. A simple low resolution VGA camera is used. An attempt is made to use simple algorithms and to provide more user friendly environment. This application focuses on the building block and key issues to be considered in HGRS and our contribution in the development of HGRS. The primary goal of the project is to create a system that can identify human dynamic hand gestures and use it for performing different functionalities. In this project, an attempt is made to building a richer bridge between machines and humans than primitive text user interfaces or even GUIs (Graphical User Interfaces), which still limit the majority of input to keyboard and mouse. Hand Gesture Recognition System enables humans to interface with the machine (HMI) and interact naturally without any mechanical devices. This could potentially make conventional input devices such as mouse, Keyboards and even touch-screens redundant.
Keywords: Customizable Palm Motion, Backward Compatibility, HGRS.
Scope of the Article: Pattern Recognition