International Journal of Advances in Science, Engineering and Technology(IJASEAT)
.
Follow Us On :
current issues
Volume-12,Issue-3  ( Jul, 2024 )
Past issues
  1. Volume-12,Issue-3  ( Jul, 2024 )
  2. Volume-12,Issue-2  ( Apr, 2024 )
  3. Volume-12,Issue-1  ( Jan, 2024 )
  4. Volume-11,Issue-4  ( Oct, 2023 )
  5. Volume-11,Issue-3  ( Jul, 2023 )
  6. Volume-11,Issue-2  ( Apr, 2023 )
  7. Volume-11,Issue-1  ( Jan, 2023 )
  8. Volume-10,Issue-4  ( Oct, 2022 )
  9. Volume-10,Issue-3  ( Jul, 2022 )
  10. Volume-10,Issue-2  ( Apr, 2022 )

Statistics report
Oct
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
  Journal Paper


Paper Title :
Palm Motion Recognition

Author :Yesugade K D, Sheeetal Salunke, Ketaki Shinde, Meenakshi Shingare, Snehal Gaikwad

Article Citation :Yesugade K D ,Sheeetal Salunke ,Ketaki Shinde ,Meenakshi Shingare ,Snehal Gaikwad , (2014 ) " Palm Motion Recognition " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 46-51, Volume-2,Issue-2

Abstract : 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 frames 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.

Type : Research paper

Published : Volume-2,Issue-2


DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-622   View Here

Copyright: © Institute of Research and Journals

| PDF |
Viewed - 38
| Published on 2014-04-16
   
   
IRAJ Other Journals
IJASEAT updates
Volume-12,Issue-2 (April,2024)
The Conference World

JOURNAL SUPPORTED BY