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• Main Authors: Yuan-Shuen Chang, 張淵順
• Other Authors: 葉士青
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/92899875831196559235

碩士 === 國立中央大學 === 資訊工程學系 === 102 === The Virtual Classroom (VC) with the head-mounted display (HMD) is a quietly promising development and application in virtual reality for the cognitive rehabilitation nowadays. Since the effect of learning has an important relationship with personal attention focus, using the interactive learning with virtual characters in the VC enables to redress the behavior of patients who have attention deficit. Good learners can pay attention and focus on a teacher, a whiteboard or a projection screen, however, learners with attention deficit are easy to be influenced by other students’ movement and behavior, so that they cannot concentrate on learning. Therefore, understanding what students look at is a very important thing. In order to find out the targets students care, in this study, a virtual classroom system through HMD has an innovative method called the attention ring that can detect their attention. Due to a high price of commercially available HMD with eye-tracking, this study designs an attention detection method with a wearable sensor to overcome the attention detection problem, so that the VC system can be popularized for general education researchers. This study collects 30 healthy participants to attend the virtual classroom attention experiment. During the experiment, every participant listens to the researcher’s instructions to look at the specific targets in the VC. The VC system gives two outputs about the data of the attention ring and the degrees of head movement rotation for post-hoc analysis. As a result, the accuracy of attention detection leads to upon 80%, and using the SVM analysis to improve overall accuracy is verified.