• DocumentCode
    3737423
  • Title

    Improvement of activity recognition for child growth monitoring system at kindergarten

  • Author

    Shuehi Kurashima;Satoshi Suzuki

  • Author_Institution
    Department of Robotics and Mechatronics, School of Science and Technology for Future Life, Tokyo Denki University, Tokyo, Japan
  • fYear
    2015
  • Firstpage
    2596
  • Lastpage
    2601
  • Abstract
    Activity recognition is possible to be used to understand behavior of infants and effective for health and development of children. In our previous study, action of children were assumed as sleeping, sitting, hand motion, walking, running, and playing. Revise of action items were, however, required because it was difficult to calculate calorie consumption in the previous. In this study, 11 action items are newly assumed, and accuracies of the activity recognition were investigated. As a result, accuracies of 4 items among 11 items were improved over than 60%, although accuracies of other 7 items were less than 60%.
  • Keywords
    "Pediatrics","Acceleration","Legged locomotion","Obesity","Monitoring","Accelerometers"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE
  • Type

    conf

  • DOI
    10.1109/IECON.2015.7392494
  • Filename
    7392494