Abstract
This work proposes a personalized mobile learning system using smart glasses which include outward and inward facing cameras. By using the outward facing camera, the proposed system recognizes the QR code, and then discovers the front view of a wearer. Additionally, our system employs an inward facing camera to capture eye images, find out the centers of irises, and then derive visual focal points. According to the exhibit of high interest, the audiovisual clips associated with the baseball background knowledge and stories were designed for learners visiting the baseball museum. The experimental results reveal that the proposed system can achieve a view angel deviation below 3.20°, and identify the 13.5 cm × 13.5 cm QR code at a distance of 2.3 m and a view angle of 40°. Therefore, the personalized mobile learning system proposed herein effectively provides learners with attention tracking, interest cultivation, and immersive engagement.
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Acknowledgments
This work was partially supported by Ministry of Science and Technology, Taiwan, under the contract numbers of MOST 105-3011-E-194-001 and MOST 104-3011-E-194-002.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Tsai, YT., Yu, SJ., Chen, XY., Chen, O.TC., Sun, J.CY., Huang, CC. (2018). Personalized Mobile Learning System via Smart Glasses. In: Lin, YB., Deng, DJ., You, I., Lin, CC. (eds) IoT as a Service. IoTaaS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-030-00410-1_17
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DOI: https://doi.org/10.1007/978-3-030-00410-1_17
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