• DocumentCode
    3664079
  • Title

    Early Childhood Educator Assistant with Brain Computer Interface

  • Author

    Paik Jen Lee; Siew Wen Chin

  • Author_Institution
    KDU Coll., Georgetown, Malaysia
  • fYear
    2014
  • Firstpage
    52
  • Lastpage
    57
  • Abstract
    Education is the most important investment in the modern and complex industrial country. Currently, there are numerous methods to track and grasp how well a child is able to concentrate during lessons. However till date, there are still very limited studies in implementing adaptive self-learning techniques to suit the needs and preferences of each child for better learning experiences. Early Childhood Educator Assistant with Brain Computer Interface (BCI) is an interactive self-learning system capable of monitoring the learning capabilities of children and providing feedback by using visual optimization such as short video clip playback if the concentration of the child drops. An adaptive self-learning system able to change the learning content difficulty based on scores of children towards the lesson. The Emotiv neuroheadgear will detect EEG signals emitted from the scalp then be further processed to determine the state of mind and engagement levels of the child so that feedback can be sent based on the varying conditions. This system has been tried and tested with a group of children between the ages of 4 to 6 years old and shows an improvement in the engagement levels.
  • Publisher
    iet
  • Conference_Titel
    Software Intelligence Technologies and Applications & International Conference on Frontiers of Internet of Things 2014, International Conference on
  • Print_ISBN
    978-1-84919-970-4
  • Type

    conf

  • DOI
    10.1049/cp.2014.1535
  • Filename
    7284219