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 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… Expand
A new hand gestures recognition system
TLDR
This paper introduced a low cost system to recognize the hand gesture in real-time and has coded by Python language, PyAutoGUI library, OS Module of Python and the OpenCV library. Expand
Design and Implementation of Static Hand Gesture Recognition System for Device Control
TLDR
This paper aims at designing a static hand gesture recognition (HGR) system captured from a webcam in real-time that consists of different stages: image capturing, feature extraction, and hand gestures recognition. Expand
Implementation of real-time static hand gesture recognition using artificial neural network
TLDR
This paper implements static hand gesture recognition in recognizing the alphabetical sign, number from “0” to “9”, and additional punctuation mark in Sistem Isyarat Bahasa Indonesia (SIBI). Expand
Weighted Euclidean Distance Based Sign Language Recognition Using Shape Features
TLDR
The experimental results show that the proposed real-time static hand gesture recognition system offers the recognition rate of 91.6 % and the proposed system consists of four stages namely preprocessing, segmentation, feature extraction, and classification. Expand
Deep learning in vision-based static hand gesture recognition
TLDR
This work proposes applying deep learning to the problem of hand gesture recognition for the whole 24 hand gestures obtained from the Thomas Moeslund's gesture recognition database and shows that more biologically inspired and deep neural networks are capable of learning the complex hand gesture classification task with lower error rates. Expand
Gesture recognition with application to human-robot interaction
TLDR
This dissertation presents the design of a gestural interface that can be used to control a robot, consisting of two modes: far-mode and near-mode, and shows that the proposed system is robust to changes in skin colour and user hand size. Expand
Hand Gesture Recognition System for Touch-Less Car Interface Using Multiclass Support Vector Machine
  • Mrinalini Pramod Tarvekar
  • Computer Science
  • 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS)
  • 2018
TLDR
The recognition system of hand gesture for touch-less car interface accepts video frames sequence and segmentation is applies on theses frames, here the new segmentation method is applied by detecting skin portion using HSV, YCgCr and YCbCr color space. Expand
A Survey of the Constraints Encountered in Dynamic Vision-Based Sign Language Hand Gesture Recognition
TLDR
The constraints encountered in the image acquisition via camera, image segmentation and tacking, feature extraction and gesture classification phase of vision-based sign language hand gesture recognition are exposed. Expand
Real-Time Hand Pose Recognition Based on a Neural Network Using Microsoft Kinect
  • S. Sorce, Vito Gentile, A. Gentile
  • Computer Science
  • 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications
  • 2013
TLDR
This paper proposes a method based on a neural network to detect in real time the hand pose, to recognize whether it is closed or not, and analyzes and discusses three possible implementations of the proposed method. Expand
Real-time hand posture and gesture-based touchless automotive user interface using deep learning
TLDR
The multilayer perceptron is utilized to model the non-linear regression framework and yields a recognition accuracy of 92% and 90% for pose and gestures, respectively. Expand
...
1
2
...

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. Expand
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. Expand
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. Expand
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. Expand
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. Expand
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. Expand
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. Expand
Visual pattern recognition by moment invariants
  • M. Hu
  • Mathematics, 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. Expand
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. Expand
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 toExpand
...
1
2
3
...