Usability improvement of skeletal-based gesture recognition for exploring virtual environments

Usability improvement of skeletal-based gesture recognition for exploring virtual environments

The aim of this thesis is to improve the usability of gesture recognition based on a skeleton tracking method for virtual environments. Gesture recognition has been considered to be as one of the most effective input methods (based on the human’s natural body movements) to interact with virtual envi...

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Main Author: Babaei, Mahdi
Format: Thesis
Published: 2015
Subjects:
TK7800-8360 Electronics
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id my-mmu-ep.6281
record_format uketd_dc
spelling my-mmu-ep.62812016-01-19T08:13:57Z Usability improvement of skeletal-based gesture recognition for exploring virtual environments 2015-07 Babaei, Mahdi TK7800-8360 Electronics The aim of this thesis is to improve the usability of gesture recognition based on a skeleton tracking method for virtual environments. Gesture recognition has been considered to be as one of the most effective input methods (based on the human’s natural body movements) to interact with virtual environments naturally (Rautaray and Agrawal, 2011). The skeleton tracking techniques that have been widely used so far for this purpose have shown common accuracy issues in recognising Micro-gestures. To resolve the disadvantages associated with skeleton tracking, the author designed a theoretical framework that applies Vygotski’s (1987) Activity theory on the taxonomy of usability characteristics of virtual environments by Gabbard (1997) to fill in the gap of Norman’s (1988) Theory of Action. The outcome will study the tasks in virtual environments in three levels according to the activity theory that makes it easier to troubleshoot the accuracy problems. A technical framework has been designed that benefits from a wearable multimodal gesture recognition input device that can work simultaneously with skeleton tracking devices. A two-iteration usability test has been performed to enhance the user-centred design of a gesture-based interface using the proposed combination of modalities. 2015-07 Thesis http://shdl.mmu.edu.my/6281/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Creative Multimedia
institution Multimedia University
collection MMU Institutional Repository
topic TK7800-8360 Electronics
spellingShingle TK7800-8360 Electronics
Babaei, Mahdi
Usability improvement of skeletal-based gesture recognition for exploring virtual environments
description The aim of this thesis is to improve the usability of gesture recognition based on a skeleton tracking method for virtual environments. Gesture recognition has been considered to be as one of the most effective input methods (based on the human’s natural body movements) to interact with virtual environments naturally (Rautaray and Agrawal, 2011). The skeleton tracking techniques that have been widely used so far for this purpose have shown common accuracy issues in recognising Micro-gestures. To resolve the disadvantages associated with skeleton tracking, the author designed a theoretical framework that applies Vygotski’s (1987) Activity theory on the taxonomy of usability characteristics of virtual environments by Gabbard (1997) to fill in the gap of Norman’s (1988) Theory of Action. The outcome will study the tasks in virtual environments in three levels according to the activity theory that makes it easier to troubleshoot the accuracy problems. A technical framework has been designed that benefits from a wearable multimodal gesture recognition input device that can work simultaneously with skeleton tracking devices. A two-iteration usability test has been performed to enhance the user-centred design of a gesture-based interface using the proposed combination of modalities.
format Thesis
qualification_level Master's degree
author Babaei, Mahdi
author_facet Babaei, Mahdi
author_sort Babaei, Mahdi
title Usability improvement of skeletal-based gesture recognition for exploring virtual environments
title_short Usability improvement of skeletal-based gesture recognition for exploring virtual environments
title_full Usability improvement of skeletal-based gesture recognition for exploring virtual environments
title_fullStr Usability improvement of skeletal-based gesture recognition for exploring virtual environments
title_full_unstemmed Usability improvement of skeletal-based gesture recognition for exploring virtual environments
title_sort usability improvement of skeletal-based gesture recognition for exploring virtual environments
granting_institution Multimedia University
granting_department Faculty of Creative Multimedia
publishDate 2015
_version_ 1747829620459175936

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