HYFI: Hybrid Floor Identification Based on Wireless Fingerprinting and Barometric Pressure

doi:10.1109/TII.2015.2491264

	HYFI: Hybrid Floor Identification Based on Wireless Fingerprinting and Barometric Pressure
	Zhao, Fang 1; Luo, Haiyong 2; Zhao, Xuqiang 3; Pang, Zhibo 4; Park, Hyuncheol 5
	2017-02-01
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
ISSN	1551-3203
卷号	13 期号:1 页码:330-341
摘要	Identifying different floors in multistory buildings is a very important task for precise indoor localization in industrial and commercial applications. The accuracy from existing studies is rather low, especially in multistory buildings with irregular structures such as hollow areas, which is common in various industrial and commercial sites. As a better solution, this paper proposes a hybrid floor identification (HYFI) algorithm, which exploits wireless access point (AP) distribution and barometric pressure information. It first extracts the distribution probability of APs scanned in different floors from offline training fingerprints and adopts Bayesian classification to accurately identify floor in well-partitioned zones without hollow areas. The floor information obtained from wireless AP distribution is then used to initialize and calibrate barometric pressure-based floor identification to compensate variable environmental effects. Extensive experiments confirm that the HYFI approach significantly outperforms purely wireless fingerprinting-based or purely barometric pressure-based floor identification approaches. In our field tests in multistory facilities with irregular hollow areas, it can identify the floor level with more than 96.1% accuracy.
关键词	Barometric pressure floor identification hybrid indoor positioning wireless fingerprinting
DOI	10.1109/TII.2015.2491264
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61374214] ; 863 Achievement Transformation Project of Tianjin[14RCHZGX00857] ; Open Project of the Beijing Key Laboratory of Mobile Computing and Pervasive Device
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
WOS类目	Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS记录号	WOS:000395874400033
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：46[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/2XEOYT63/7555
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhao, Fang
作者单位	1.Beijing Univ Posts & Telecommun, Sch Software Engn, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China 4.ABB AB, Corp Res, S-72178 Vasteras, Vastmanland, Sweden 5.Samsung Elect Corp, Suwon 16677, Gyeonggi Do, South Korea
推荐引用方式 GB/T 7714	Zhao, Fang,Luo, Haiyong,Zhao, Xuqiang,et al. HYFI: Hybrid Floor Identification Based on Wireless Fingerprinting and Barometric Pressure[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2017,13(1):330-341.
APA	Zhao, Fang,Luo, Haiyong,Zhao, Xuqiang,Pang, Zhibo,&Park, Hyuncheol.(2017).HYFI: Hybrid Floor Identification Based on Wireless Fingerprinting and Barometric Pressure.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,13(1),330-341.
MLA	Zhao, Fang,et al."HYFI: Hybrid Floor Identification Based on Wireless Fingerprinting and Barometric Pressure".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 13.1(2017):330-341.