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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/78088
標題: | 建立一個具有自然使用者介面的可攜式與沉浸式擴增實境之拆卸訓練系統 Development of a Portable Immersive Augmented Reality Disassembly Training System with Natural User Interface |
作者: | Chia-Wei Hsu 許家維 |
指導教授: | 陳湘鳳(Shana Smith) |
關鍵字: | 擴增實境,拆卸訓練,物理基礎的拆卸,自然使用者介面,遮蔽處理, Augmented Reality,Disassembly Training,Physics-based Disassembly,Natural User Interface,Occlusion, |
出版年 : | 2016 |
學位: | 碩士 |
摘要: | Augmented reality (AR) is an increasingly discussed topic with major research efforts focused on industrial applications in the recent years. Recent developments in ideas, software and hardware opened up new opportunities, and the applications of AR for virtual assembly and disassembly have great potential. Compared to real world tasks, virtual disassembly allows users to complete tasks with lower cost and without exposure to environmental danger. The simulation of realistic real world interactions within a virtual world therefore becomes an essential issue to solve. This research develops an AR-based disassembly training system, which provides users with a natural user interface that allows them to manipulate objects using their bare hands, without additional worn or handheld devices on their hands. Multiple coordinate systems are unified, the issue of creating and updating the dynamic coordinate transform between that of the Oculus Rift, Leap Motion, RGB camera, and the AR marker which represents the real world is solved. To resolve issues with occlusion and increase the immersion and perceived realism of the system, an innovative occlusion approach proposed to minimize computational load. A flexible physics-based disassembly system is implemented to handle part disassembly. The physical tools can be used in the system. User test results show that the system was robust and successful in improving user experience in virtual disassembly. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/78088 |
DOI: | 10.6342/NTU201600717 |
全文授權: | 有償授權 |
顯示於系所單位: | 機械工程學系 |
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ntu-105-R03522617-1.pdf 目前未授權公開取用 | 4.8 MB | Adobe PDF |
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