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A Wearable pedestrian localization and gait identification system using kalman filtered inertial data

Hajati, N ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1109/TIM.2021.3073440
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2021
  4. Abstract:
  5. In this article, we introduce a pedestrian dead reckoning (PDR)-based navigation device that does not require global navigation satellite system (GNSS) signals or beacons and works with an inertial measurement unit (IMU) mounted on its waist belt. The system identifies the individual by their walking pattern to use the proper gains in the computations, estimates the attitude by applying an unscented Kalman filter, and finally derives the position in three dimensions with the help of a step detection algorithm. The experimental results show an outdoor 4.7-km walk resulting in an error of 0.96%. © 1963-2012 IEEE
  6. Keywords:
  7. Wearable technology ; Gait identifications ; Inertial measurement unit ; Navigation devices ; Pedestrian dead reckoning (PDR) ; Step detection ; Three dimensions ; Unscented Kalman Filter ; Walking pattern ; Kalman filters
  8. Source: IEEE Transactions on Instrumentation and Measurement ; Volume 70 , 2021 ; 00189456 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/9406816