CAPTURE: A Mobile Based Indoor Positioning System using Wireless Indoor Positioning System

Dari, Yohanes Erwin; Suyoto, Suyoto Suyoto; Pranowo, Pranowo

doi:10.3991/ijim.v12i1.7632

Cited by 23 publications

(10 citation statements)

References 23 publications

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“…Dari et al [ 76 ] developed CAPTURE, an IPS based on fingerprinting that determines the position with the help of nearest neighbors (NN). However, the performance of the system is heavily influenced by the signal fluctuations and noise.…”

Section: Evolution Of Wi-fi Localizationmentioning

confidence: 99%

Fundamental Concepts and Evolution of Wi-Fi User Localization: An Overview Based on Different Case Studies

Retscher

2020

Sensors

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Indoor positioning poses a number of challenges, especially in large and complex buildings. Several effects, such as signal attenuation, signal fluctuations, interference, and multipath play a decisive role in signal propagation. The severity of each challenge depends on the method and technology adopted to perform user localization. Wi-Fi is a popular method because of its ubiquity with already available public and private infrastructure in many environments and the ability for mobile clients, such as smartphones, to receive these signals. In this contribution, the fundamental concepts and basics and the evolution of Wi-Fi as the most widely used indoor positioning technology are reviewed and demonstrated using four different conducted case studies. Starting from an analysis of the properties of Wi-Fi signals and their propagation, suitable techniques are identified. The mathematical models of location fingerprinting and lateration are consolidated and assessed as well as new technology directions and developments highlighted. Results of the case studies demonstrate the capability of Wi-Fi for continuous user localization also in dynamic environments and kinematic mode where the user walks with a usual step speed. However, to achieve acceptable localization accuracy, calibration of the devices is required to mitigate the variance problems due to the device heterogeneity.

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Section: Evolution Of Wi-fi Localizationmentioning

confidence: 99%

Fundamental Concepts and Evolution of Wi-Fi User Localization: An Overview Based on Different Case Studies

Retscher

2020

Sensors

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“…An area of 7m by 10m was used for the experiment Overall, the positioning accuracy achieved is 2.0 to 2.5 meters. Yohanes E. and Suyoto, P.,2018 [16] proposed a system combined RSS fingerprint method with KNN method, to get maximum result in the process of location recognition that the mobilebased (CAPTURE) wireless positioning system can recognize the indoors location properly by using the wireless 802.11b/g technology.…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Implementation of a Wireless System to Locate a User in Indoor Environments

Kareem¹,

Ali²,

Jasim³

2020

ETJ

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The technology of indoor positioning has pulled in the consideration of researchers the expanding capability of smartphones and the advancement of sensor innovation, alongside the increase the time people spend working inside the building or being indoors. Sensor innovation, which is one of the most generally utilized information hotspots for indoor setting, has a favorable position that sensors can receive information from a cell phone without introducing any additional device. The idea of the proposed system is to use the Wi-Fi access points, inside the building, together with a Smartphone Wi-Fi sensor which lets the building administrator locate those carrying smartphones, wherever they exist inside the building. The proposed system consists of two-stage the testing stage (or preparation phase) and, the second stage is the training stage (or positioning phase). The data is collected and selected for accurate readings; a router is used, which is the Mikrotik access point type from which we can read the RSS value. The RSS value represents the Wi-Fi signal strength of the target device. The proposed IPS detection system is independent and can work in unconstrained environments. The database used to measure the performance of the proposed IPS detection system is collected from 14 locations (different in size). The number of readings obtained from the collected database is 1199 readings consist of received signal strength value from five access points. The proposed IPS accuracy is 96.8595% and the mean error is about 1.2 meters are achieved when using, K-Nearest Neighbor (K-NN), used the...

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“…Although technology today can users with comfortable outdoor navigation solutions using Global Positioning System (GPS). GPS is one of the famous positioning systems that commonly used to locate the location and position of an outdoor object [1]. However, locating an indoor object using GPS is not reliable due to the GPS signals transmitted through waves at a frequency that does not move easily through a solid object like walls [2].…”

Section: Introductionmentioning

confidence: 99%

A Shopping Mall Indoor Navigation Application using Wi-Fi Positioning System

Tan¹

2020

IJATCSE

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Nowadays, shopping malls become very important in our society. Shopping mall is a type of complex public building. There is a total of 41.7 percent of people visited shopping malls at least once a week based on the previous survey. People always encountered problems when they are trying to find a certain store in the shopping mall due to the complexity of the building. structure They are forced to find their way around the malls with the old-fashioned method: asking directions, looking for way finding directory, trial, and error. Therefore, a shopping mall indoor navigation application should be developed to provide a complete direction guide to the shoppers. The indoor navigation application should allow users to easily find their way to the desired stores, display detailed information, and the latest promotions offered by each store. The indoor navigation application must be able to provide more robust, reliable and accurate indoor navigation to the users. This application only relying on the Wi-Fi positioning system (WiPS/WFPS) technique, which is a Wi-Fi-based location system. This technique enables the application to plot the shopper's current location on the mall's map and further provide the indoor navigation from and to any location in a mall. Based on the usability testing, most of the respondents are satisfied with the application from the aspects like usefulness, efficiency, ease of use, and also enhance in terms of aesthetics. Shoppers no longer get lost in the shopping mall as the maps and navigation function of the mall are resides in the palm of the shopper's hand. This paper presents a shopping mall indoor navigation application using a Wi-Fi positioning system which allows the shopper to navigate their ways in shopping and receive the information on each of the stores.

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CAPTURE: A Mobile Based Indoor Positioning System using Wireless Indoor Positioning System

Cited by 23 publications

References 23 publications

Fundamental Concepts and Evolution of Wi-Fi User Localization: An Overview Based on Different Case Studies

Fundamental Concepts and Evolution of Wi-Fi User Localization: An Overview Based on Different Case Studies

Design and Implementation of a Wireless System to Locate a User in Indoor Environments

A Shopping Mall Indoor Navigation Application using Wi-Fi Positioning System

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