Original Assignee Individual Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.) Loos Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.) Expired - Lifetime Application number US09/872,528 Other versions US20020188164A1 Google Patents Nervous system manipulation by electromagnetic fields from monitorsĭownload PDF Info Publication number US6506148B2 US6506148B2 US09/872,528 US87252801A US6506148B2 US 6506148 B2 US6506148 B2 US 6506148B2 US 87252801 A US87252801 A US 87252801A US 6506148 B2 US6506148 B2 US 6506148B2 Authority US United States Prior art keywords image pulsing monitor frequency pulsed Prior art date Legal status (The legal status is an assumption and is not a legal conclusion. Google Patents US6506148B2 - Nervous system manipulation by electromagnetic fields from monitors 3, pp.US6506148B2 - Nervous system manipulation by electromagnetic fields from monitors Journal: Journal of Intelligent & Fuzzy Systems, vol. Keywords: Indoor positioning, WiFi signal, RGB image, manufacturing workshop, sparse representation The positioning methods are tested in manufacturing workshop, and the experimental results show that the proposed method can reduce the complexity of the positioning method and achieve the higher positioning accuracy under same conditions. A fusion positioning model based on the sparse representation is established and solved using Lasso and BPDN positioning method. The WiFi signal is transformed into the W-image according to indoor space and correction radius parameters, then the W-image and RGB image information are fused with LBP feature by the uniform-LBP algorithm. This paper presents an indoor positioning method fusing information of the WiFi signal and RGB image to improve the positioning performance. The fingerprint-based positioning technology using image mainly determines the location information of the mobile target by matching the features of the foreground images, which has the high positioning accuracy but low real-time positioning. The traditional WiFi signal fingerprint-based pos itioning technology mainly determines the location information of the mobile target by received RSS, which has high real-time positioning but low positioning accuracy. Determining the mobile target’s location is a core problem of LBS. Ībstract: With the sustainable development of mobile communication technology and the increasing demand for indoor services, Location-based Service (LBS) is attracting more and more attention. Guangzhu Chen, College of Information Science and Technology, Chengdu University of Technology, Chengdu, China. | Library, Southwest Minzu University, Chengdu, ChinaĬorresponding author. | College of Information Science and Technology, Chengdu University of Technology, Chengdu, China Authors: Bai, Nan a | Chen, Guangzhu b * | Hou, Rui a | Ying, Feng cĪffiliations: College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, China
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