• DocumentCode
    1881386
  • Title

    Ultra-wideband monitoring sensor with pattern recognition

  • Author

    Nakama, H. ; Nakamura, Ryosuke ; Kajiwara, A.

  • Author_Institution
    Grad. Sch. of Environ. Eng., Univ. of Kitakyushu, Fukuoka, Japan
  • fYear
    2013
  • fDate
    19-21 Feb. 2013
  • Firstpage
    167
  • Lastpage
    170
  • Abstract
    Elderly-care support is a very important issue in many developed countries because of the arrival of increasingly aging society. Actually, fall accidents often take place in care facilities when the elderly attempt to leave the bed alone. So, a sensor estimating their state and motion with ultra-wideband are gaining a lot of attention because of preventing those accidents. In this paper, we propose an algorithm to estimate their motion on a bed accurately with support vector machine (SVM) which is one of pattern recognition. This paper presents the measurement results conducted in a care/ nursing home about the effectiveness of the proposed algorithm.
  • Keywords
    biomechanics; biomedical measurement; geriatrics; medical signal processing; motion estimation; patient care; patient monitoring; pattern recognition; support vector machines; SVM; care facilities; elderly-care support; fall accidents; motion estimation; nursing home; pattern recognition; support vector machine; ultrawideband monitoring sensor; Accidents; Antenna measurements; Distance measurement; Monitoring; Pattern recognition; Senior citizens; Support vector machines; Elderly-care; SVM; motion estimation; pattern recognition; ultrawideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors Applications Symposium (SAS), 2013 IEEE
  • Conference_Location
    Galveston, TX
  • Print_ISBN
    978-1-4673-4636-8
  • Type

    conf

  • DOI
    10.1109/SAS.2013.6493579
  • Filename
    6493579