• DocumentCode
    3695337
  • Title

    Lifelog visualization for elderly health care in Informationally Structured Space

  • Author

    Takenori Obo;Habeebah Adamu Kakudi;Yuri Yoshihara; Chu Kiong Loo;Naoyuki Kubota

  • Author_Institution
    Department of Artificial Intelligence, University of Malaya, Kuala Lumpur, Malaysia
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    As the number of elderly people living alone increases, more caregivers are required to support the aging society. Such elderly people have little chances to communicate with other people and are likely to be socially isolated. The monitoring system is one of possible solutions to confirm the safety of elderly people. Sensor network or portable sensing devices can be applied to such monitoring systems. However, basically, such systems are unilateral systems to just observe human states. It is important for elderly people and their families to create opportunities for communicating with each other. Visualization based on lifelogging is one of the important and effective techniques implored to understand and share personal preference and lifestyle. If the elderly´s family members can share their hobbies, diversions and lifestyle, then they can easily select common topics to discuss and ensue communication. In this study, we develop a visualization system to represent personal relation between elderly people and their family members based on their daily activities. Moreover, this paper proposes a method of topological visualization based on the spring-mass-damper system (Spring Model).
  • Keywords
    "Robot sensing systems","Senior citizens","Neurons","Visualization","Springs","Monitoring"
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIEV.2015.7334009
  • Filename
    7334009