Personalized mobile learning system via smart glasses

Yi Ting Tsai, Shih Jou Yu, Xin Yen Chen, Oscal Tzyh Chiang Chen*, Jerry Chih-Yuan Sun, Ching-Chun Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationIoT as a Service - Third International Conference, IoTaaS 2017, Proceedings
EditorsYi-Bing Lin, Ilsun You, Der-Jiunn Deng, Chun-Cheng Lin
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9783030004095
StatePublished - 1 Jan 2018
Event3rd International Conference on IoT as a Service, IoTaaS 2017 - Taichun, Taiwan
Duration: 20 Sep 201722 Sep 2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ISSN (Print)1867-8211


Conference3rd International Conference on IoT as a Service, IoTaaS 2017


  • Eye tracking
  • Mobile learning
  • Pattern recognition
  • QR code
  • Smart glasses
  • Visual focal point

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