Motion Based Acceleration Correction for Improved Sensor Orientation Estimates
Terrell R. Bennett, Roozbeh Jafari, Nicholas Gans

Citation
Terrell R. Bennett, Roozbeh Jafari, Nicholas Gans. "Motion Based Acceleration Correction for Improved Sensor Orientation Estimates". The 2014 International Conference on Wearable and Implantable Body Sensor Networks (BSN2014), 16, June, 2014.

Abstract
Inertial measurement units (IMUs) including accelerometers and gyroscopes are becoming very common and can be found in cell phones, fitness trackers, and other wearable devices. With the growth in wearable computing and body sensor networks, IMUs are also becoming more prevalent research environments for estimation and tracking of human motion. We demonstrate that the accelerometer angle estimate is inaccurate for typical motions and present a method using a kinematic model to correct the accelerometer angle estimate and improve overall orientation estimates using an extended Kalman filter (EKF). Our method improves upon the raw accelerometer orientation estimation method and a gyroscope based EKF method for sensor orientation during motion and at rest.

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Citation formats  
  • HTML
    Terrell R. Bennett, Roozbeh Jafari, Nicholas Gans. <a
    href="http://www.terraswarm.org/pubs/298.html"
    >Motion Based Acceleration Correction for Improved Sensor
    Orientation Estimates</a>, The 2014 International
    Conference on Wearable and Implantable Body Sensor Networks
    (BSN2014), 16, June, 2014.
  • Plain text
    Terrell R. Bennett, Roozbeh Jafari, Nicholas Gans.
    "Motion Based Acceleration Correction for Improved
    Sensor Orientation Estimates". The 2014 International
    Conference on Wearable and Implantable Body Sensor Networks
    (BSN2014), 16, June, 2014.
  • BibTeX
    @inproceedings{BennettJafariGans14_MotionBasedAccelerationCorrectionForImprovedSensorOrientation,
        author = {Terrell R. Bennett and Roozbeh Jafari and Nicholas
                  Gans},
        title = {Motion Based Acceleration Correction for Improved
                  Sensor Orientation Estimates},
        booktitle = {The 2014 International Conference on Wearable and
                  Implantable Body Sensor Networks (BSN2014)},
        day = {16},
        month = {June},
        year = {2014},
        abstract = {Inertial measurement units (IMUs) including
                  accelerometers and gyroscopes are becoming very
                  common and can be found in cell phones, fitness
                  trackers, and other wearable devices. With the
                  growth in wearable computing and body sensor
                  networks, IMUs are also becoming more prevalent
                  research environments for estimation and tracking
                  of human motion. We demonstrate that the
                  accelerometer angle estimate is inaccurate for
                  typical motions and present a method using a
                  kinematic model to correct the accelerometer angle
                  estimate and improve overall orientation estimates
                  using an extended Kalman filter (EKF). Our method
                  improves upon the raw accelerometer orientation
                  estimation method and a gyroscope based EKF method
                  for sensor orientation during motion and at rest.},
        URL = {http://terraswarm.org/pubs/298.html}
    }
    

Posted by Barb Hoversten on 7 Apr 2014.

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