• DocumentCode
    1622639
  • Title

    A smart reminder system for complex human activities

  • Author

    Chaminda, Hapugahage Thilak ; Klyuev, Vitaly ; Naruse, Keitaro

  • Author_Institution
    Dept. of Comput. & Inf. Syst., Univ. of Aizu, Fukushima, Japan
  • fYear
    2012
  • Firstpage
    235
  • Lastpage
    240
  • Abstract
    A significant number of elders live with memory impairment issues, as a result of the normal aging process. Therefore various kinds of supporting systems have been developed to help the elders, who have mild memory problems. In this paper we propose a Smart Reminder System for reminding forgotten complex activities, in home environment. Subjected complex activities are the activities, which should be completed as originally intended, after they are initiated. Due to strong relationship among initiation and conclusion activities, those activities are called as “Coupling Activities” in this paper. Reminders for forgotten Coupling Activities are predicted according to the user´s current behaviour, current location and past activity patterns. Therefore wearable sensors are used to gather required data for identifying user´s context. A reason for forgetting also is predicted with the reminder. Reminders are predicted with minimum supervision of the user, as the system learns the user´s dynamic behaviour by itself. Proposed Smart Reminder System could achieve 80% average accuracy rate for reminder prediction in a system evaluation, which was done using four subjects.
  • Keywords
    geriatrics; handicapped aids; home computing; complex human activities; coupling activities; home environment; memory impairment issues; normal aging process; smart reminder system; Accuracy; Algorithm design and analysis; Arrays; Artificial neural networks; Couplings; Humans; Prediction algorithms; Coupling activities; Health care; Human activity recognition; Reminder systems; Smart home; Smart system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2012 14th International Conference on
  • Conference_Location
    PyeongChang
  • ISSN
    1738-9445
  • Print_ISBN
    978-1-4673-0150-3
  • Type

    conf

  • Filename
    6174656