IoT as a Service. Third International Conference, IoTaaS 2017, Taichung, Taiwan, September 20–22, 2017, Proceedings

Research Article

Personalized Mobile Learning System via Smart Glasses

Download
178 downloads
  • @INPROCEEDINGS{10.1007/978-3-030-00410-1_17,
        author={Yi-Ting Tsai and Shih-Jou Yu and Xin-Yen Chen and Oscal Chen and Jerry Sun and Ching-Chun Huang},
        title={Personalized Mobile Learning System via Smart Glasses},
        proceedings={IoT as a Service. Third International Conference, IoTaaS 2017, Taichung, Taiwan, September 20--22, 2017, Proceedings},
        proceedings_a={IOTAAS},
        year={2018},
        month={10},
        keywords={Mobile learning Smart glasses Eye tracking Pattern recognition Visual focal point QR code},
        doi={10.1007/978-3-030-00410-1_17}
    }
    
  • Yi-Ting Tsai
    Shih-Jou Yu
    Xin-Yen Chen
    Oscal Chen
    Jerry Sun
    Ching-Chun Huang
    Year: 2018
    Personalized Mobile Learning System via Smart Glasses
    IOTAAS
    Springer
    DOI: 10.1007/978-3-030-00410-1_17
Yi-Ting Tsai1, Shih-Jou Yu2, Xin-Yen Chen1, Oscal Chen1,*, Jerry Sun2, Ching-Chun Huang1
  • 1: National Chung Cheng University
  • 2: National Chiao Tung University
*Contact email: oscal@ee.ccu.edu.tw

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.