Single Person Hand Gesture Recognition using Artificial Neural Network

Language: English

Published by LAP LAMBERT Academic Publishing, 2020

6202678879 / 9786202678872

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.…

Seller Inventory # 9786202678872

Title
Single Person Hand Gesture Recognition using Artificial Neural Network
Author
Biswarup Ganguly
Publisher
LAP LAMBERT Academic Publishing
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6202678879
ISBN 13
9786202678872
Item weight
107 grams
Dimensions
220x150x5 mm

AHA-BUCH GmbH

Einbeck, Germany

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Shipping rates from Germany to U.S.A.

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