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Development of Human Motion Detection for Skeleton Tracking Using Microsoft Kinect

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Main Authors: Nor Atika binti Mohd Azar, Bachelor of Engineering Technology in Electronics
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Language:English
Published: 2014
Online Access:http://localhost/xmlui/handle/123456789/6466
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spelling my.unikl.ir-64662014-05-02T11:04:22Z Development of Human Motion Detection for Skeleton Tracking Using Microsoft Kinect Nor Atika binti Mohd Azar Bachelor of Engineering Technology in Electronics Top 20 This is a new system about human pose estimation has been a long standing problem with applications in human motion interaction of skeleton tracking, motion capture and activity recognition. Complexities arise due to the high dimension of the search space, large number of degree of freedoms involved and the constraints involved such as no body part penetration and disallowing impossible positions. Other challenges include variation of cluttered background, body parameters, and illumination changes. In this work attempt to fit a stick skeleton model to a human body using RGB and depth streams obtained from the Microsoft Kinect sensor. This paper gives an overview of the state of the art and currently available literature and techniques related to human body detection of skeleton tracking. Some techniques are used to detect the body movement in 2D. Other segmentation techniques are designed to be used in bone and joint detection. Many schemes are proposed for tracking the body skeleton in 2D. The common aim of all these techniques is to develop an automated tracking body or skeleton movement which can help create a pose and gesture analysis, gesture biometric and gait reorganization. This paper also presents a discussion on depth camera and libraries that can be applied for skeleton tracking as well. Then the paper proposes the process for developing of human motion detection of movement the bones with a Kinect sensor and display in stick human at interface. This project will present on the power transmission without using wire. The title of project is “Development of Wireless Power Transmission”. This project also will explain in detail of analysis and design of wireless power transmission using inductive coupling method. Inductive coupling method using the principles of electromagnetism and combine it with transformer principles in making transmission from primary to secondary coil. Inductive coupling have capability in transferring energy in short range. This project also makes a comparison between two input supply (6V and 9V) and size of cross sectional wire (1.5mm2 and 2.5mm2). Besides that, it also analyses the effect of diameter and number of turn in transmitting power. There are also an application made from the project which is chessman for glass snake and ladder game. In this project, there are 5 main block diagram which are supply, regulator circuit, transmitting circuit, transmitting coil and receiving coil. For the supply, the supply of transformer is applied to convert 230v ac to 12v dc. The regulator circuit are use to maintain and stabilize dc voltage. The used of LM7806 and LM7809 to provide voltage of 6V and 9V. In order to amplify electronics signal in transmitting circuit, components transistor BD139 are used. Then, the transmitting circuit are attached to transmitting coil. From thetransmitting coil, then the power was transfer wirelessly to the receiving coil and resulting of usage power to the load. 2014-05-02T10:13:51Z 2014-05-02T10:13:51Z 2014-05-02 http://localhost/xmlui/handle/123456789/6466 en
institution Universiti Kuala Lumpur
building UniKL Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kuala Lumpur
content_source UniKL Institutional Repository
url_provider http://ir.unikl.edu.my/
language English
description Top 20
format
author Nor Atika binti Mohd Azar
Bachelor of Engineering Technology in Electronics
spellingShingle Nor Atika binti Mohd Azar
Bachelor of Engineering Technology in Electronics
Development of Human Motion Detection for Skeleton Tracking Using Microsoft Kinect
author_facet Nor Atika binti Mohd Azar
Bachelor of Engineering Technology in Electronics
author_sort Nor Atika binti Mohd Azar
title Development of Human Motion Detection for Skeleton Tracking Using Microsoft Kinect
title_short Development of Human Motion Detection for Skeleton Tracking Using Microsoft Kinect
title_full Development of Human Motion Detection for Skeleton Tracking Using Microsoft Kinect
title_fullStr Development of Human Motion Detection for Skeleton Tracking Using Microsoft Kinect
title_full_unstemmed Development of Human Motion Detection for Skeleton Tracking Using Microsoft Kinect
title_sort development of human motion detection for skeleton tracking using microsoft kinect
publishDate 2014
url http://localhost/xmlui/handle/123456789/6466
_version_ 1644484811392286720
score 13.222552

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