Document Details

Document Type : Thesis 
Document Title :
MIXED REALITY BASED HAND GESTURES FOR ENHANCING DISTRIBUTED COLLABORATION
الواقع المدمج استناداً لإيماءات اليد لتحسين التعاون عن بعد
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : Mixed reality (MR) technologies are widely used in distributed collaborative learning scenarios and have made learning and training more flexible and intuitive. However, there are many challenges in the use of MR due to the difficulty in creating a physical presence, particularly when a physical task is being performed collaboratively. We therefore developed a novel MR system to overcomes these limitations and enhance the distributed collaboration user experience. The primary objective of this thesis to explore the potential of a MR-based hand gestures system to enhance the conceptual architecture of MR in terms of both visualization and interaction in distributed collaboration. We propose a synchronous prototype named MRCollab as an immersive collaborative approach that allows two or more users to communicate with a peer based on the integration of several technologies such as video, audio, and hand gestures. MRCollab offers a distinct feature by display the physical object in the virtual reality VR, which helps to improve the perception of the workspace and ability to manipulate the objects, using the Leap Motion controller to recognize the 3D hand gestures. To evaluate the proposed framework we conducted a case study on an informal sample. Where quantitative and qualitative results have been demonstrated for participants' evaluations. A comparative study is conducted to compare the results of our system with the previous system according to several criteria depends primarily on ease of use where p- value MRCollab has exceed previous system with 96% confidence rating. While ease of learning p- value MRCollab has exceed previous system with 66% confidence rating. Thus, Contribution of the proposed solution to faster task completion, increase awareness of remote collaborators and enables synchronous physical interaction for users. 
Supervisor : Dr. Ahmad A Alzahrani 
Thesis Type : Master Thesis 
Publishing Year : 1440 AH
2019 AD 
Added Date : Sunday, April 7, 2019 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
سمية محمد عسيريAsiri, Somayah MohammedResearcherMaster 

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