• Corpus ID: 208223582

A comparison of human body wearable sensor positions for UWB-based indoor localization

@inproceedings{Otim2019ACO,
  title={A comparison of human body wearable sensor positions for UWB-based indoor localization},
  author={Timothy Otim and Luis Enrique D{\'i}ez and Alfonso Bahillo and Peio L{\'o}pez-Iturri and Francisco Falcone},
  booktitle={IPIN},
  year={2019}
}
Over the years, several UWB localization systems have already been proposed for accurate position estimation of pedestrians. Most of these systems already proposed for pedestrian localization have only been individually evaluated for a particular wearable sensor position. In this paper, we compare the positioning performance of seven body wearable sensor positions i.e., chest, arm, ankle, wrist, thigh, fore-head, and hand using an Extended Kalman Filter (EKF) based localization algorithm in an… 

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