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eBook SIGNTIUM: Real Time Dynamic Hand Gesture Recognition System ePub

by Ahmed Sohaib,Khurram Hassan Butt,Syed Fahad Ali Hashmi

eBook SIGNTIUM: Real Time Dynamic Hand Gesture Recognition System ePub
Author: Ahmed Sohaib,Khurram Hassan Butt,Syed Fahad Ali Hashmi
Language: English
ISBN: 3843386552
ISBN13: 978-3843386555
Publisher: LAP LAMBERT Academic Publishing (January 11, 2011)
Pages: 88
Subcategory: Computers
Rating: 4.2
Votes: 944
Formats: lrf txt mobi lrf
ePub file: 1169 kb
Fb2 file: 1893 kb

Ahmed Sohaib, Khurram Hassan Butt and Syed Fahad Ali Hashmi. The project Signtium is a unique approach for hand gesture recognition. It uses a mediocre web camera and Intel Pentium based personal computer to recognize gestures. The text presents the.

Ahmed Sohaib, Khurram Hassan Butt and Syed Fahad Ali Hashmi. The text presents the details of the line of action for making the computer acquire the hand, distinguish between the direction of movements of hand and shapes a hand makes by fingers. The algorithm implemented employs the digital image processing techniques and computer surmises to gestures by artificial intelligence using neural network.

Hand gesture recognition method is widely used in the application area of. .This paper introduces a real time hand gesture recognition system

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 . This paper introduces a real time hand gesture recognition system. This system consists of three stages: image acquisition, feature extraction, and recognition. A gesture recognition system which can reliably recognize single-hand gestures in real time on a 600Mhz notebook computer is described.

Про Syed Fahad Hashmi.

Check Ahmed Sohaib: Adil Mehdi, Manisha Sethi, Ghazi Shahnawaz . Booktopia has Signtium by Ahmed Sohaib Ahmed Sohaib "SIGNTIUM.

Check Ahmed Sohaib: Adil Mehdi, Manisha Sethi, Ghazi Shahnawaz, Tanweer Fazal, Sanghamitra Misra, Arshad Alam, Farah Farooqi, Anwar Alam, Pakistan, Jamia, Azra. Booktopia has Signtium by Ahmed Sohaib. Ahmed Sohaib Werke beck-shop. Ahmed Sohaib "SIGNTIUM.

The whole system consists of three components: hand detection, gesture recognition and human-computer .

The whole system consists of three components: hand detection, gesture recognition and human-computer interaction (HCI) based on recognition; and realizes the robust control of mouse and keyboard events with a higher accuracy of gesture recognition. Specifically, we use the convolutional neural network (CNN) to recognize gestures and makes it attainable to identify relatively complex gestures using only one cheap monocular camera.

Signtium: Real Time Dynamic Hand Gesture Recognition System by Ahmed Sohaib (En. Schlage Recognition Systems HandKey II HK-2 Biometric Hand Scanner Reader 1.

Schlage HandPunch 1000E HP1000E Biometric Hand Recognition Time Clock + Software.

oceedings{ShamsundarRealTH, title {Real Time Hand Gesture Recognition System}, author {Shival Abhilasha Shamsundar and . Hand gestures can be used for natural and intuitive human-computer interaction.

oceedings{ShamsundarRealTH, title {Real Time Hand Gesture Recognition System}, author {Shival Abhilasha Shamsundar and Suryawanshi Rupali Vitthalrao} }. Shival Abhilasha Shamsundar, Suryawanshi Rupali Vitthalrao. Our new method combines existing techniques of skin color based ROI segmentation and Viola-Jones Haar-like feature based object detection, to optimize hand gesture recognition for mouse operation.

Hand gesture recognition is very significant for human-computer interaction. In this work, we present a novel real-time method for hand gesture recognition. In our framework, the hand region is extracted from the background with the background subtraction method. Then, the palm and fingers are segmented so as to detect and recognize the fingers. Finally, a rule classifier is applied to predict the labels of hand gestures. The experiments on the data set of 1300 images show that our method performs well and is highly efficient

A Real Time Hand Tracking System for Interactive Applications Siddharth Swarup Rautaray Indian Institute of Information Technology Allahabad ABSTRACT In vision based hand tracking systems color plays an. More information

A Real Time Hand Tracking System for Interactive Applications Siddharth Swarup Rautaray Indian Institute of Information Technology Allahabad ABSTRACT In vision based hand tracking systems color plays an. More information. Mouse Control using a Web Camera based on Colour Detection.

Ldr Sarmad Tanvir(External) Irfan Ali Dr. Mushtaq Ahmad Sikander Ali Khan Murtaza Ali Qureshi S. M. Javed Karim Gardezi RFID Based Hospital Management System Ahmed Sohaib Dr. Syed Asif Mahmood Gilani Faisal Abdullah Khurram Hassan Butt S. Fahad Ali Hashmi. Fahad Ali Hashmi SIGNTIUM Dr. Alex Kavokin Ali Haider Rizvi Dr. Syed Asif Mahmood Gilani Ammar sarwar Asad Billal Qamber Usman Raza Real Time Tank

The project Signtium is a unique approach for hand gesture recognition. It uses a mediocre web camera and Intel Pentium based personal computer to recognize gestures. The text presents the details of the line of action for making the computer acquire the hand, distinguish between the direction of movements of hand and shapes a hand makes by fingers. The algorithm implemented employs the digital image processing techniques and computer surmises to gestures by artificial intelligence using neural network. The project features mainly three applications: Firstly it controls the windows programs that include games, media player and other applications. Secondly, it takes its approach towards robotics and last but not least it controls a household practice that is controlling appliances. All the applications were a part of demonstration. Signtium is implemented in C++ using OpenCV libraries. The core of this report enumerates some techniques and describes the mechanism of working of the project Signtium.
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