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Book by Sohaib Ahmed Hassan Butt Khurram Fahad Ali Hashmi
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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.
Biografía del autor:
At the time of publishing this research report, Sohaib was doing his MS in Computer Engineering from National University of Singapore; Khurram was working as a Software Engineer in Canton Group, Maryland, USA; Fahad was working on SAP as an Assistant Manager in KESC, Pakistan. They did their BS in Computer Engineering from GIKI, Pakisatn in 2009.
At the time of publishing this research report, Sohaib was doing his MS in Computer Engineering from National University of Singapore; Khurram was working as a Software Engineer in Canton Group, Maryland, USA; Fahad was working on SAP as an Assistant Manager in KESC, Pakistan. They did their BS in Computer Engineering from GIKI, Pakisatn in 2009.
At the time of publishing this research report, Sohaib was doing his MS in Computer Engineering from National University of Singapore; Khurram was working as a Software Engineer in Canton Group, Maryland, USA; Fahad was working on SAP as an Assistant Manager in KESC, Pakistan. They did their BS in Computer Engineering from GIKI, Pakisatn in 2009.
At the time of publishing this research report, Sohaib was doing his MS in Computer Engineering from National University of Singapore; Khurram was working as a Software Engineer in Canton Group, Maryland, USA; Fahad was working on SAP as an Assistant Manager in KESC, Pakistan. They did their BS in Computer Engineering from GIKI, Pakisatn in 2009.
At the time of publishing this research report, Sohaib was doing his MS in Computer Engineering from National University of Singapore; Khurram was working as a Software Engineer in Canton Group, Maryland, USA; Fahad was working on SAP as an Assistant Manager in KESC, Pakistan. They did their BS in Computer Engineering from GIKI, Pakisatn in 2009.
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- EditorialLAP Lambert Academic Publishing
- Año de publicación2011
- ISBN 10 3843386552
- ISBN 13 9783843386555
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SIGNTIUM: Real Time Dynamic Hand Gesture Recognition System
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Descripción Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 88 pp. Englisch. Nº de ref. del artículo: 9783843386555
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Descripción Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783843386555
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SIGNTIUM Real Time Dynamic Hand Gesture Recognition System
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(2011)
ISBN 10: 3843386552
ISBN 13: 9783843386555
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ISBN 13: 9783843386555
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Descripción Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sohaib AhmedAt the time of publishing this research report, Sohaib was doing his MS in Computer Engineering from National University of Singapore Khurram was working as a Software Engineer in Canton Group, Maryland, USA Fahad was w. Nº de ref. del artículo: 5468494
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