Single Person Hand Gesture Recognition using Artificial Neural Network

Ganguly, Biswarup

ISBN 10: 6202678879 / ISBN 13: 9786202678872

Published by LAP LAMBERT Academic Publishing, 2020

About this Item

Seller Inventory # 26396033044

Bibliographic Details

• Title: Single Person Hand Gesture Recognition using Artificial Neural Network
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 6202678879
• ISBN 13: 9786202678872
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.