Pedestrian Dead Reckoning Based on Walking Pattern Recognition and Online Magnetic Fingerprint Trajectory Calibration

doi:10.1109/JIOT.2020.3016146

	Pedestrian Dead Reckoning Based on Walking Pattern Recognition and Online Magnetic Fingerprint Trajectory Calibration
	Wang, Qu 1; Luo, Haiyong 2; Xiong, Hao 3; Men, Aidong 1; Zhao, Fang 3; Xia, Ming 4; Ou, Changhai 5
	2021-02-01
发表期刊	IEEE INTERNET OF THINGS JOURNAL
ISSN	2327-4662
卷号	8 期号:3 页码:2011-2026
摘要	With the explosive development of pervasive computing and the Internet of Things (IoT), indoor positioning and navigation have attracted immense attention over recent years. Pedestrian dead reckoning (PDR) is a potential autonomous localization technology that obtains position estimation employing built-in sensors. However, most existing PDR methods assume that the smartphone is held horizontally and points to the walking direction. To solve reckoning errors caused by inconsistency of headings between walking heading and pointing of smartphone, we design an accurate and robust PDR method based on walking patterns, which is identified by multihead convolutional neural networks. In addition to adaptively adjust the threshold of step detection and select the most suitable step length model according to the results of walking pattern recognition, a novel heading estimation approach independent of device orientation is proposed. To mitigate accumulative errors, we proposed an online trajectory calibration method based on forward and backward magnetic fingerprint trajectory matching. We conduct extensive and well-designed experiments in typical scenarios, and the experimental results indicate that the 75th percentile localization accuracy of the three scenarios is 1.06, 1.08, and 1.22 m, respectively, using the commercial smartphone embedded sensor without any dedicated infrastructures or training data. Despite the intricate pedestrian locomotion, the proposed PDR method has great potential in pedestrian positioning.
关键词	Legged locomotion Trajectory Estimation Fingerprint recognition Dead reckoning Sensors Heading estimation indoor positioning Internet of Things (IoT) online calibration pedestrian dead reckoning (PDR) walking pattern recognition
DOI	10.1109/JIOT.2020.3016146
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program[2018YFB0505200] ; Action Plan Project of the Beijing University of Posts and Telecommunications - Fundamental Research Funds for the Central Universities[2019XD-A06] ; Special Project for Youth Research and Innovation, Beijing University of Posts and Telecommunications ; National Science Foundation of China[61872046] ; National Science Foundation of China[61671264] ; National Science Foundation of China[61671077] ; Joint Research Fund for Beijing Natural Science Foundation[L192004] ; Haidian Original Innovation[L192004] ; Key Research and Development Project from Hebei Province[19210404D] ; BUPT Excellent Ph.D. Students Foundation[CX2020306] ; Open Project of the Beijing Key Laboratory of Mobile Computing and Pervasive Device ; Fundamental Research Funds for the Central Universities[2019PTB-011]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000612146000058
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：53[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/16283
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Luo, Haiyong; Men, Aidong
作者单位	1.Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China 3.Beijing Univ Posts & Telecommun, Sch Software Engn, Beijing 100876, Peoples R China 4.Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China 5.Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore 639798, Singapore
推荐引用方式 GB/T 7714	Wang, Qu,Luo, Haiyong,Xiong, Hao,et al. Pedestrian Dead Reckoning Based on Walking Pattern Recognition and Online Magnetic Fingerprint Trajectory Calibration[J]. IEEE INTERNET OF THINGS JOURNAL,2021,8(3):2011-2026.
APA	Wang, Qu.,Luo, Haiyong.,Xiong, Hao.,Men, Aidong.,Zhao, Fang.,...&Ou, Changhai.(2021).Pedestrian Dead Reckoning Based on Walking Pattern Recognition and Online Magnetic Fingerprint Trajectory Calibration.IEEE INTERNET OF THINGS JOURNAL,8(3),2011-2026.
MLA	Wang, Qu,et al."Pedestrian Dead Reckoning Based on Walking Pattern Recognition and Online Magnetic Fingerprint Trajectory Calibration".IEEE INTERNET OF THINGS JOURNAL 8.3(2021):2011-2026.