A Neural Network based Real Time Hand Gesture Recognition System

@article{Ahmed2012ANN,
  title={A Neural Network based Real Time Hand Gesture Recognition System},
  author={Tasnuva Ahmed},
  journal={International Journal of Computer Applications},
  year={2012},
  volume={59},
  pages={17-22}
}
  • Tasnuva Ahmed
  • Published 18 December 2012
  • Computer Science
  • International Journal of Computer Applications
Gesture is habitually used in every day life style. It is so natural way to communicate. Hand gesture recognition method is widely used in the application area of Controlling mouse and/or keyboard functionality, mechanical system, 3D World, Manipulate virtual objects, Navigate in a Virtual Environment, Human/Robot Manipulation and Instruction Communicate at a distance. This paper introduces a real time hand gesture recognition system. This system consists of three stages: image acquisition… 

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References

SHOWING 1-10 OF 21 REFERENCES
Real-time gesture recognition using deterministic boosting
TLDR
A gesture recognition system which can reliably recognize single-hand gestures in real time on a 600Mhz notebook computer is described and is demonstrated controlling a windowed operating system, editing a document and performing file-system operations with extremely low error rates over long time periods.
Hand gesture recognition using neural networks
  • G. Murthy, R. S. Jadon
  • Computer Science
    2010 IEEE 2nd International Advance Computing Conference (IACC)
  • 2010
TLDR
A system which can identify specific hand gestures and use them to convey information and could achieve up to 89% correct results on a typical test set is designed.
Camera-based gesture recognition for robot control
  • A. Corradini, H. Groß
  • Computer Science
    Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium
  • 2000
TLDR
Four architectures for gesture-based interaction between a human being and an autonomous mobile robot using the above mentioned techniques or a hybrid combination of them are presented.
Hand Gesture Recognition for Human-Machine Interaction
TLDR
The aim of this paper is the proposal of a real time vision system for its application within visual interaction environments through hand gesture recognition, using general-purpose hardware and low cost sensors, so any user could make use of it in his office or home.
Hand Gesture Recognition in Camera-Projector System
TLDR
A vision-based hand gesture recognition system is implemented in a camera-projector system to achieve an augmented reality tool and the recognition efficiency is improved by the recognition probabilities of the consecutive detected gestures by maximum likelihood approach.
Hand Gesture Recognition using Computer Vision
TLDR
Intuitive and naturalness characteristics of “Hand Gestures” in the HCI have been the driving force and motivation to develop an interaction device which can replace current unwieldy tools.
Hand gesture recognition using input-output hidden Markov models
TLDR
A new hand gesture recognition method based on input-output hidden Markov models is presented, which recognizes two classes of gestures: deictic and symbolic.
Visual pattern recognition by moment invariants
  • M. Hu
  • Computer Science
    IRE Trans. Inf. Theory
  • 1962
TLDR
It is shown that recognition of geometrical patterns and alphabetical characters independently of position, size and orientation can be accomplished and it is indicated that generalization is possible to include invariance with parallel projection.
Neural Networks: A Comprehensive Foundation
TLDR
Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Human-Computer Interaction
ion: types and availability of abstraction mechanisms. Does the system give you any way of defining new facilities or terms within the notation, so that you can extend it to describe new things or to
...
...