Motion Based Acceleration Correction for Improved Sensor Orientation Estimates Conference Paper uri icon

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 researchenvironments for estimation and tracking of human motion. Wedemonstrate 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. 2014 IEEE.

name of conference

  • 2014 11th International Conference on Wearable and Implantable Body Sensor Networks

published proceedings

  • 2014 11th International Conference on Wearable and Implantable Body Sensor Networks

author list (cited authors)

  • Bennett, T. R., Jafari, R., & Gans, N.

citation count

  • 7

complete list of authors

  • Bennett, Terrell R||Jafari, Roozbeh||Gans, Nicholas

publication date

  • January 2014