Motion Detection with Local Linear Embedding and its Application to Indoor Device-Free Human Trajectory Tracking

作     者：Yu, Hongli Yu, Gwo-Jong Yang, Bin Liu, Jinjun HONGLI YU;GWO-JONG YU;BIN YANG;JINJUN LIU

作者机构：Chuzhou Univ Coll Comp & Informat Engn Chuzhou 239000 Peoples R China Aletheia Univ Dept Comp Sci & Informat Engn New Taipei 25103 Taiwan 

出 版 物：《JOURNAL OF INFORMATION SCIENCE AND ENGINEERING》 (J. Inf. Sci. Eng.)

年 卷 期：2019年第35卷第6期

页      面：1193-1208页

核心收录：

基　　金：National Natural Science Foundation of China Anhui Provincial Natural Science Research Project [KJ2018B02] Anhui Provincial Natural Science Foundation [1908085MF211] Program for Science and Technology Innovative Research Team of Chuzhou University Anhui Provincial Department of Education General Project [KJ2017B16] 

主　　题：device-free localization trajectory tracking channel state information Wi-Fi local linear embedding algorithm 

摘      要：Device-free indoor human trajectory tracking is critical to support health care applications for elderly people. Many device-free localization algorithms depend on expensive hardware to achieve tracking accuracy. In contrast to such algorithms, this paper proposes a new device-free human trajectory tracking algorithm for indoor environments based on channel state information that is extracted from a Wi-Fi network interface card, which is a low-cost component. The proposed algorithm first uses the characteristics of locally linear embedding to detect whether a person is moving and applies quadratic discriminant analysis to determine the new location of the person. The determined locations of the person are connected to form a trajectory. Experimental results revealed that the proposed algorithm provides an effective solution for passive human trajectory tracking.