• DocumentCode
    1307337
  • Title

    A Motion-Tracking Ultrasonic Sensor Array for Behavioral Monitoring

  • Author

    Cheng, Roland ; Heinzelman, Wendi ; Sturge-Apple, Melissa ; Ignjatovic, Zeljko

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Rochester, Rochester, NY, USA
  • Volume
    12
  • Issue
    3
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    707
  • Lastpage
    712
  • Abstract
    The application of Kalman filtering to track subjects´ movements during a behavioral experiment is discussed. Specifically, an overhead array of wireless, ultrasound sensors automatically tracks the position of a parent, child, and stranger over a 4.45 m × 4.23 m observation area. This WiPsy (Wireless sensors for Psychology research) system provides accurate, real-time quantitative metrics for psychological evaluation in lieu of traditional qualitative manual coding. Moreover, tracking subjects using ultrasound sensors is less error-prone than existing methods that track based on human coding of video. In particular, the Kalman filter, which forms the core of this tracking system, can locate targets with a mean square error of about 1.3 m2. Overall, WiPsy strives to streamline data acquisition, processing, and analysis by providing previously unavailable assessment parameters.
  • Keywords
    Kalman filters; biomedical equipment; biomedical ultrasonics; data acquisition; mean square error methods; medical image processing; object tracking; patient monitoring; sensor arrays; ultrasonic devices; video coding; Kalman filtering; behavioral monitoring; human video coding; mean square error; motion-tracking ultrasonic sensor array; psychological evaluation; qualitative manual coding; streamline data acquisition; Arrays; Humans; Kalman filters; Psychology; Target tracking; Ultrasonic imaging; Image array; Kalman filter; sensor network; ultrasound;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2011.2165942
  • Filename
    5999685