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.

Electronic downloads

• https://www.src.org/library/publication/p069853/. (Link to paper on SRC website.)
• http://dx.doi.org/10.1109/BSN.2014.17

• 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.