Robust heading estimation in mobile phones

  1. Fernando Casado
  2. Adrián Nieto
  3. Roberto Iglesias
  4. Carlos Regueiro
  5. Senén Barro
Buch:
From Bioinspired Systems and Biomedical Applications to Machine Learning: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3–7, 2019, Proceedings, Part II
  1. José Manuel Ferrández Vicente (dir. congr.)
  2. José Ramón Álvarez-Sánchez (dir. congr.)
  3. Félix de la Paz López (dir. congr.)
  4. Javier Toledo Moreo (dir. congr.)
  5. Hojjat Adeli (coord.)

Verlag: Springer Suiza

ISBN: 978-3-030-19651-6

Datum der Publikation: 2019

Seiten: 180-190

Art: Buch-Kapitel

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Zusammenfassung

Nowadays, mobile phones are used more and more for purposesthat have nothing to do with phone calls or simple data transfers.One example is indoor inertial navigation. Within this task, a centralproblem is to obtain a good estimation of the user heading, robust to magnetic interference and changes in the position of the mobile device with respect to the user. In this paper we propose a method able to provide ing as a result of detecting the relative positionof the mobile phone with respect to the user, together with a heuristic computation of the heading from different Euler representations.We have performed an experimental validation of our proposal comparing it with the Android default compass. The results confirm the good performance of our method.

Fuente de los datos: Dialnet