Towards Person-Centered Anomaly Detection and Support System for Home Dementia Care

  • Kazunari TamamizuEmail author
  • Seiki Tokunaga
  • Sachio Saiki
  • Shinsuke Matsumoto
  • Masahide Nakamura
  • Kiyoshi Yasuda
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9745)


Anomaly detection is a crucial issue for people with dementia and their families to live a safe and comfortable life at home. The elderly monitoring system is a promising solution. However, the conventional systems have limitations in detectable anomalies and support actions, which cannot fully cover individual needs. To achieve more person-centered home care for people with dementia, our research group has been studying environmental sensing with IoT. In this paper, using the environmental sensing, we propose a new service that allows individual users to customize definition of anomaly and corresponding actions. Specifically, borrowing a mechanism of context-aware services, we regard every anomaly observed within the house as a context. We then define every care as an action bound to an anomaly context. This achieves the personalized anomaly detection and care. To demonstrate the feasibility, we implement a prototype system and conduct a practical case study.


Sensor Data Anomaly Detection Smart Home Sound Volume Service Layer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This research was partially supported by the Japan Ministry of Education, Science, Sports, and Culture [Grant-in-Aid for Scientific Research (B) (No. 26280115, No. 15H02701), Young Scientists (B) (No. 26730155), and Challenging Exploratory Research (15K12020)].


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Kazunari Tamamizu
    • 1
    Email author
  • Seiki Tokunaga
    • 1
  • Sachio Saiki
    • 1
  • Shinsuke Matsumoto
    • 1
  • Masahide Nakamura
    • 1
  • Kiyoshi Yasuda
    • 2
  1. 1.Graduate School of System InformaticsKobe UniversityKobeJapan
  2. 2.Chiba Rosai HospitalIchiharaJapan

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