• DocumentCode
    1911980
  • Title

    Using SenseCam for Capturing Ubiquitous Learning Log

  • Author

    Hou, Bin ; Ogata, Hiroaki ; Li, Mengmeng ; Uosaki, Noriko ; Mouri, Kousuke

  • Author_Institution
    Dept. of Inf. Sci. & Intell. Syst., Univ. of Tokushima, Tokushima, Japan
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    267
  • Lastpage
    272
  • Abstract
    In our current research, we defined a ubiquitous learning log as a digital record of what a learner has learned in the daily life using ubiquitous technologies. A system named SCROLL was developed to support logging, organizing, recalling and evaluating learners´ learning logs. Learners have to record their learning activities and register them to SCROLL consciously and most of learning chances are lost. This paper proposes a system named PACALL (Passive Capture for Learning Log) to solve this problem. We introduced SenseCam to help learners record their learning activities unconsciously and help them review captured photos and upload to SCROLL. We even use image processing to filter the bad photos and find similar photos to help learner have a better reflection of life logs and find important learning content. Besides, GPS unit is also used in this system.
  • Keywords
    Global Positioning System; cameras; computer aided instruction; image processing; records management; ubiquitous computing; GPS unit; PACALL; SCROLL; SenseCam; digital record; image processing; learner learning log evaluating; learner learning log organizing; learner learning log recalling; learner learning logging; passive capture for learning log; ubiquitous learning log capturing; ubiquitous technologies; Cameras; Face; Global Positioning System; Reflection; Registers; Sensors; Vocabulary; PACALL; SenseCam; learning log; life log; passive capture; ubiquitous learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Applied Informatics (IIAIAAI), 2012 IIAI International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4673-2719-0
  • Type

    conf

  • DOI
    10.1109/IIAI-AAI.2012.61
  • Filename
    6337201