Institute of Computing Technology, Chinese Academy IR
| Recent Advances in Pedestrian Navigation Activity Recognition: A Review | |
| Wang, Qu1,2; Luo, Haiyong3; Wang, Jianquan1; Sun, Lei1; Ma, Zhangchao1; Zhang, Chaoyi1; Fu, Meixia1; Zhao, Fang4 | |
| 2022-04-15 | |
| 发表期刊 | IEEE SENSORS JOURNAL
 |
| ISSN | 1530-437X |
| 卷号 | 22期号:8页码:7499-7518 |
| 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. |
| 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 |
| DOI | 10.1109/JSEN.2022.3153610 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 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 |
| WOS类目 | Engineering, Electrical & Electronic ; Instruments & Instrumentation ; Physics, Applied |
| WOS记录号 | WOS:000803129500010 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.204/handle/2XEOYT63/19597 |
| 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.Univ Sci & Technol Beijing, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China 2.Univ Sci & Technol Beijing, Shunde Grad Sch, Foshan 528399, Peoples R China 3.Chinese Acad Sci, Beijing Key Lab Mobile Comp & Pervas Device, Inst Comp Technol, Beijing 100190, 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. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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