• DocumentCode
    3451156
  • Title

    Multimodal approach for stroke recognition using body-mounted sensors

  • Author

    Choi, Sung-Do ; Lee, Soo-Young

  • Author_Institution
    Dept. of Bio & Brain Eng., KAIST, Daejeon, South Korea
  • fYear
    2012
  • fDate
    13-16 Jan. 2012
  • Firstpage
    219
  • Lastpage
    220
  • Abstract
    This paper presents multimodal stroke recognition algorithms using a magnetometer-aided inertial measurement unit (mIMU). At first, we devise a magnetometer-aided (mag-aided) algorithm based on two kinematic constraints. In addition, we propose hybrid algorithms composed of the mag-aided algorithm and the conventional gyro-aided algorithm. The hybrid algorithm outperforms respective algorithm (gyro-aided/mag-aided). Experimental results demonstrate high accuracy in stroke recognition rates.
  • Keywords
    biomedical engineering; brain-computer interfaces; magnetometers; measurement systems; sensors; wearable computers; body-mounted sensor; gyro-aided algorithm; kinematic constraints; mIMU; mag-aided algorithm; magnetometer-aided algorithm; magnetometer-aided inertial measurement unit; multimodal stroke recognition algorithm; Accelerometers; Algorithm design and analysis; Classification algorithms; Estimation; Gravity; Heuristic algorithms; Kinematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2012 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2158-3994
  • Print_ISBN
    978-1-4577-0230-3
  • Type

    conf

  • DOI
    10.1109/ICCE.2012.6161837
  • Filename
    6161837