Multimode Pedestrian Dead Reckoning Gait Detection Algorithm Based on Identification of Pedestrian Phone Carrying Position
Joint Authors
Guo, Ying
Liu, Qinghua
Ji, Xianlei
Wang, Shengli
Feng, Mingyang
Sun, Yuxi
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-31
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Telecommunications Engineering
Abstract EN
Pedestrian dead reckoning (PDR) is an essential technology for positioning and navigation in complex indoor environments.
In the process of PDR positioning and navigation using mobile phones, gait information acquired by inertial sensors under various carrying positions differs from noise contained in the heading information, resulting in excessive gait detection deviation and greatly reducing the positioning accuracy of PDR.
Using data from mobile phone accelerometer and gyroscope signals, this paper examined various phone carrying positions and switching positions as the research objective and analysed the time domain characteristics of the three-axis accelerometer and gyroscope signals.
A principal component analysis algorithm was used to reduce the dimension of the extracted multidimensional gait feature, and the extracted features were random forest modelled to distinguish the phone carrying positions.
The results show that the step detection and distance estimation accuracy in the gait detection process greatly improved after recognition of the phone carrying position, which enhanced the robustness of the PDR algorithm.
American Psychological Association (APA)
Guo, Ying& Liu, Qinghua& Ji, Xianlei& Wang, Shengli& Feng, Mingyang& Sun, Yuxi. 2019. Multimode Pedestrian Dead Reckoning Gait Detection Algorithm Based on Identification of Pedestrian Phone Carrying Position. Mobile Information Systems،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1193784
Modern Language Association (MLA)
Guo, Ying…[et al.]. Multimode Pedestrian Dead Reckoning Gait Detection Algorithm Based on Identification of Pedestrian Phone Carrying Position. Mobile Information Systems No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1193784
American Medical Association (AMA)
Guo, Ying& Liu, Qinghua& Ji, Xianlei& Wang, Shengli& Feng, Mingyang& Sun, Yuxi. Multimode Pedestrian Dead Reckoning Gait Detection Algorithm Based on Identification of Pedestrian Phone Carrying Position. Mobile Information Systems. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1193784
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193784