Isbn: 9786202678872 - single person hand gesture recognition using artificial neural network (8 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2020

    6202678879 / 9786202678872

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    Da: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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    EUR 65,35

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2020

    6202678879 / 9786202678872

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    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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    EUR 127,79

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    Quantità: 1 disponibile

    paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Jul 2020, 2020

    6202678879 / 9786202678872

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 39,90

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The introduction of gesture recognition has led to a better man-machine interaction (MMI). Gesture recognition is an interesting topic in computer vision and pattern recognition (CVPR) technology which deals with the mathematical interpretation of human gestures via a computing device. It enables a human being to interact with machines without any mechanical contact. Hand gesture recognition has been granted as one of the emerging fields in research today providing a natural way of communication between man and a machine. Gestures are some forms of body motions which a person expresses when doing work or giving a reply. Human body tracking is a well-studied topic in today¿s era of man-machine interaction and it can be formed by the virtue of human skeleton structures. These skeleton structures have been detected successfully due to the smart progress of some devices, used to measure depth (e.g. Sony PlayStation, Kinect sensor, etc.). Human body movements have been viewed using these depth sensors which can provide sufficient accuracy while tracking full body in real-time mode with low cost. 60 pp. Englisch.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2020

    6202678879 / 9786202678872

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    Condizione: Nuovo

    EUR 65,09

    EUR 7,68 spedizione 
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    Quantità: 4 disponibili

    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2020

    6202678879 / 9786202678872

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    EUR 64,75

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    Quantità: 4 disponibili

    Condizione: New. PRINT ON DEMAND.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2020

    6202678879 / 9786202678872

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 45,66

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The introduction of gesture recognition has led to a better man-machine interaction (MMI). Gesture recognition is an interesting topic in computer vision and pattern recognition (CVPR) technology which deals with the mathematical interpretation of human gestures via a computing device. It enables a human being to interact with machines without any mechanical contact. Hand gesture recognition has been granted as one of the emerging fields in research today providing a natural way of communication between man and a machine. Gestures are some forms of body motions which a person expresses when doing work or giving a reply. Human body tracking is a well-studied topic in today's era of man-machine interaction and it can be formed by the virtue of human skeleton structures. These skeleton structures have been detected successfully due to the smart progress of some devices, used to measure depth (e.g. Sony PlayStation, Kinect sensor, etc.). Human body movements have been viewed using these depth sensors which can provide sufficient accuracy while tracking full body in real-time mode with low cost.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2020

    6202678879 / 9786202678872

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    Da: moluna, Greven, Germaniamoluna

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    EUR 34,25

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ganguly BiswarupBiswarup Ganguly is currently working as an Assistant Professor with the Electrical Engineering Department, Meghnad Saha Institute of Technology, Kolkata, India. His current research interests include the condition mo. …

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Jul 2020, 2020

    6202678879 / 9786202678872

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Condizione: Nuovo

    EUR 39,90

    EUR 60,00 spedizione 
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    Quantità: 1 disponibile

    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The introduction of gesture recognition has led to a better man-machine interaction (MMI). Gesture recognition is an interesting topic in computer vision and pattern recognition (CVPR) technology which deals with the mathematical interpretation of human gestures via a computing device. It enables a human being to interact with machines without any mechanical contact. Hand gesture recognition has been granted as one of the emerging fields in research today providing a natural way of communication between man and a machine. Gestures are some forms of body motions which a person expresses when doing work or giving a reply. Human body tracking is a well-studied topic in today's era of man-machine interaction and it can be formed by the virtue of human skeleton structures. These skeleton structures have been detected successfully due to the smart progress of some devices, used to measure depth (e.g. Sony PlayStation, Kinect sensor, etc.). Human body movements have been viewed using these depth sensors which can provide sufficient accuracy while tracking full body in real-time mode with low cost.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.…