• DocumentCode
    677943
  • Title

    Fuzzified Neural Network Based Human Physical Condition Monitoring Using MEMS Based Monitoring Devices

  • Author

    Nii, Manabu ; Kakiuchi, Yohei ; Hayashi, Teruaki ; Takahama, Kazunobu ; Yumoto, Takayuki

  • Author_Institution
    Grad. Sch. of Eng., Univ. of Hyogo, Himeji, Japan
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    2146
  • Lastpage
    2151
  • Abstract
    In order to understand our physical condition, we need to record the detail of physical condition data like the heart rate. However, for understanding such data, additional information such as what the subject is doing at that time is needed. We propose a combined system which consists of a fuzzified neural network based unusual condition detection and a standard neural network based action estimation. From experimental results, the effectiveness of our proposed system is shown for understanding our conditions.
  • Keywords
    electrocardiography; fuzzy neural nets; micromechanical devices; patient monitoring; MEMS-based monitoring devices; electrocardiography; fuzzified neural network-based human physical condition monitoring; fuzzified neural network-based unusual condition detection; heart rate; physical condition data recording; standard neural network-based action estimation; Acceleration; Condition monitoring; Estimation; Monitoring; Neural networks; Sensors; Training; Fuzzified neural networks; MEMS; physical condition monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.367
  • Filename
    6722120