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A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods

"Motion gesture is one of the gesture recognition algorithms which provide touchless interaction within a system. The main objective of this project is to design a system that detects motion gesture of a virtual heart in medical imaging environment. This project encompassesa few gesture algo...

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Main Author: Ng, Ing Kye
Format: Academic Exercise
Language:English
Published: 2014
Subjects:
Q Science (General)
Online Access:https://eprints.ums.edu.my/id/eprint/17532/1/a%20real%20time%20vision%20based%20touchless.pdf
https://eprints.ums.edu.my/id/eprint/17532/
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spelling my.ums.eprints.175322017-11-21T05:46:32Z https://eprints.ums.edu.my/id/eprint/17532/ A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods Ng, Ing Kye Q Science (General) "Motion gesture is one of the gesture recognition algorithms which provide touchless interaction within a system. The main objective of this project is to design a system that detects motion gesture of a virtual heart in medical imaging environment. This project encompassesa few gesture algorithmss uch as GestureE stimation,F eedback and Gesture Recognition. The purpose of Gesture Estimation is to detect gestures and locates the screen coordinates. The Feedback is to produce response from the user regarding the motion data and the position of gestures. Gesture Recognition is to recognise the gestures and performs the basic transformation of the virtual heart. A Predefine Offset Screen Distance for Gesture Recognition is proposed. The flow of the algorithm can be divided into four steps. The first step is to calculate the offset line. Second, Recognition Threshold is declared to diminish the noise of the motion. Third, the range which is defined as left or right is used for gesture recognition. Lastly, the basic transformation such as rotation, translation and scale is executed if a data motion lies within the range. Four experiments are carried out to evaluate the prototype system. The experiments are Gesture Test, Lighting Test, Distance Test and Memory test. Besides, the proposed Predefine Offset Screen Distance is further analysed by measuring time complexity using Big-O Notation. The results showed that the proposed Predefine Offset Screen Distance is not very efficient and it has higher computational cost in time complexity with 0(n2). In this study, a prototype of Augmented Reality system that implements gesture motion is developed. The use of the gesture motion algorithm enables an interactive environment in medical imaging. 2014 Academic Exercise NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/17532/1/a%20real%20time%20vision%20based%20touchless.pdf Ng, Ing Kye (2014) A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods. Universiti Malaysia Sabah. (Unpublished)
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
Ng, Ing Kye
A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods
description "Motion gesture is one of the gesture recognition algorithms which provide touchless interaction within a system. The main objective of this project is to design a system that detects motion gesture of a virtual heart in medical imaging environment. This project encompassesa few gesture algorithmss uch as GestureE stimation,F eedback and Gesture Recognition. The purpose of Gesture Estimation is to detect gestures and locates the screen coordinates. The Feedback is to produce response from the user regarding the motion data and the position of gestures. Gesture Recognition is to recognise the gestures and performs the basic transformation of the virtual heart. A Predefine Offset Screen Distance for Gesture Recognition is proposed. The flow of the algorithm can be divided into four steps. The first step is to calculate the offset line. Second, Recognition Threshold is declared to diminish the noise of the motion. Third, the range which is defined as left or right is used for gesture recognition. Lastly, the basic transformation such as rotation, translation and scale is executed if a data motion lies within the range. Four experiments are carried out to evaluate the prototype system. The experiments are Gesture Test, Lighting Test, Distance Test and Memory test. Besides, the proposed Predefine Offset Screen Distance is further analysed by measuring time complexity using Big-O Notation. The results showed that the proposed Predefine Offset Screen Distance is not very efficient and it has higher computational cost in time complexity with 0(n2). In this study, a prototype of Augmented Reality system that implements gesture motion is developed. The use of the gesture motion algorithm enables an interactive environment in medical imaging.
format Academic Exercise
author Ng, Ing Kye
author_facet Ng, Ing Kye
author_sort Ng, Ing Kye
title A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods
title_short A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods
title_full A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods
title_fullStr A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods
title_full_unstemmed A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods
title_sort real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods
publishDate 2014
url https://eprints.ums.edu.my/id/eprint/17532/1/a%20real%20time%20vision%20based%20touchless.pdf
https://eprints.ums.edu.my/id/eprint/17532/
_version_ 1760229326650867712
score 13.211869

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