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Recent Advances in Pedestrian Navigation Activity Recognition: A Review

文献类型：期刊论文

作者Wang, Qu2,3; Luo, Haiyong1; Wang, Jianquan2; Sun, Lei2; Ma, Zhangchao2; Zhang, Chaoyi2; Fu, Meixia2; Zhao, Fang4
刊名IEEE SENSORS JOURNAL
出版日期2022-04-15
卷号22期号:8页码:7499-7518
ISSN号1530-437X
关键词Activity recognition Sensors Navigation Legged locomotion Performance evaluation Hidden Markov models Feature extraction Pedestrian positioning human activity recognition pedestrian navigation activity public dataset
DOI10.1109/JSEN.2022.3153610
英文摘要Pedestrian navigation activity recognition (PNAR) has a significant impact on positioning and tracking performance. Smartphone-based PNAR utilizes measurements from sensors embedded in smartphone to identify pedestrian motion mode and smartphone usage mode. Compared with other PNAR technologies, smartphone-based PNAR has the advantage of autonomy and practicality. Though various PNAR recognition methods based on smartphone have been proposed, up-to-date review papers that summarize relevant technologies, methods, and solutions of PNAR are relatively less so far in the literature. This work aims to present an elaborated, timely, and valuable survey for different smartphone-based PNAR techniques, including sensor calibration, pedestrian modeling, pedestrian motion and smartphone usage modes definition, workflow, state-of-the-art research methods, public datasets, performance evaluation metrics, and relative competitions. Finally, applications, current challenges and future research trends are discussed. The work propels a better understanding of existing navigation activity recognition methods. It is helpful for researchers to further design PNAR methods, and develop more accurate and robust pedestrian positioning and navigation systems.
资助项目National Key Research and Development Program[2020YFB1708800] ; China Postdoctoral Science Foundation[2021M700385] ; Guangdong Basic and Applied Basic Research Foundation[2021A1515110577] ; Guangdong Key Research and Development Program[2020B0101130007] ; Fundamental Research Funds for Central Universities[FRF-MP-20-37] ; National Natural Science Foundation of China[61872046] ; National Natural Science Foundation of China[62002026] ; Joint Research Fund for Beijing Natural Science Foundation[L192004] ; Haidian Original Innovation[L192004] ; Beijing Natural Science Foundation[4212024] ; Open Project of Beijing Key Laboratory of Mobile Computing and Pervasive Device
WOS研究方向Engineering ; Instruments & Instrumentation ; Physics
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000803129500010
源URL[http://119.78.100.204/handle/2XEOYT63/19596]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Wang, Jianquan
作者单位1.Chinese Acad Sci, Beijing Key Lab Mobile Comp & Pervas Device, Inst Comp Technol, Beijing 100190, Peoples R China
2.Univ Sci & Technol Beijing, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China
3.Univ Sci & Technol Beijing, Shunde Grad Sch, Foshan 528399, Peoples R China
4.Beijing Univ Posts & Telecommun, Sch Comp Sci, Beijing 100876, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Qu,Luo, Haiyong,Wang, Jianquan,et al. Recent Advances in Pedestrian Navigation Activity Recognition: A Review[J]. IEEE SENSORS JOURNAL,2022,22(8):7499-7518.
APA Wang, Qu.,Luo, Haiyong.,Wang, Jianquan.,Sun, Lei.,Ma, Zhangchao.,...&Zhao, Fang.(2022).Recent Advances in Pedestrian Navigation Activity Recognition: A Review.IEEE SENSORS JOURNAL,22(8),7499-7518.
MLA Wang, Qu,et al."Recent Advances in Pedestrian Navigation Activity Recognition: A Review".IEEE SENSORS JOURNAL 22.8(2022):7499-7518.

入库方式： OAI收割

来源：计算技术研究所

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