Identification of Basic Behavioral Activities by Heterogeneous Sensors of In-Home Monitoring System

  • Vasily MoshnyagaEmail author
  • Tanaka Osamu
  • Toshin Ryu
  • Koji Hashimoto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9277)


Caregivers of people with cognitive impairment need assistive technologies capable of reducing stress of constant monitoring of patient. In this paper we discuss information technologies employed for sensing and identification of basic behavioral activities of a patient in a low-cost caregiver assisting system. By analyzing readings from heterogeneous sensors, the system automatically detects the activities, assesses risks which they may have for the patient’s health, evaluates emergency of assistance and alerts the caregiver in a case of emergency. We present algorithms for activity identification, emergency computation and show results of empirical evaluation in a prototype in-home caregiver assisting system. As experiments revealed, the system has identification rate for basic activities higher than 94 %.


Posture Sensor Motion Sensor Ambient Intelligence Fall Detection People With Dementia 
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.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Vasily Moshnyaga
    • 1
    Email author
  • Tanaka Osamu
    • 1
  • Toshin Ryu
    • 1
  • Koji Hashimoto
    • 1
  1. 1.Department of Electronics Engineering and Computer ScienceFukuoka UniversityFukuokaJapan

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