Real-Time Wireless Location and Tracking System with Motion Pattern Detection

Abreu, Pedro Henriques; Vinhas, Vasco; Mendes, Pedro; Reis, Luís Paulo; Garganta, Júlio

doi:10.5772/9270

Cited by 7 publications

(7 citation statements)

References 29 publications

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“…Intrusive systems encompass a myriad of technologies that can be used to locate and track assets, such as GPS (Global Positioning System) [ 16 ], RFID [ 17 ] and RFID UWB [ 18 ], ZigBee [ 19 ], IMU (Inertial Measurement Unit) [ 20 ], Wi-Fi [ 21 ], or Bluetooth [ 22 ], each of which with its advantages and disadvantages that can make each specific technology more suitable for specific scenarios.…”

Section: Literature Reviewmentioning

confidence: 99%

Using Kalman Filters to Reduce Noise from RFID Location System

Abreu

Xavier

Silva

et al. 2014

The Scientific World Journal

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Nowadays, there are many technologies that support location systems involving intrusive and nonintrusive equipment and also varying in terms of precision, range, and cost. However, the developers some time neglect the noise introduced by these systems, which prevents these systems from reaching their full potential. Focused on this problem, in this research work a comparison study between three different filters was performed in order to reduce the noise introduced by a location system based on RFID UWB technology with an associated error of approximately 18 cm. To achieve this goal, a set of experiments was devised and executed using a miniature train moving at constant velocity in a scenario with two distinct shapes—linear and oval. Also, this train was equipped with a varying number of active tags. The obtained results proved that the Kalman Filter achieved better results when compared to the other two filters. Also, this filter increases the performance of the location system by 15% and 12% for the linear and oval paths respectively, when using one tag. For a multiple tags and oval shape similar results were obtained (11–13% of improvement).

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Section: Literature Reviewmentioning

confidence: 99%

Using Kalman Filters to Reduce Noise from RFID Location System

Abreu

Xavier

Silva

et al. 2014

The Scientific World Journal

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“…Customer movements can be tracked within a fewfeet radius, even if they don't connect to a WiFi network. The customer sends a unique identification (ID) code when searching for networks, which permits the in-premises Wi-Fi access to identify and further locate the use by triangulation (Abreu et al, 2010). In this way, it can be monitored which departments the customer uses, for how long, if a social network activity is performed, and also if the social network activity has a positive, neutral, or negative mood.…”

Section: Customer Passive Trackingmentioning

confidence: 99%

Pervasive information gathering and data mining for efficient business administration

Garrigós‐Simón¹,

Llorente²,

Morant

et al. 2016

Journal of Vacation Marketing

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Following a multidisciplinary perspective (that combines the literature from management, information systems, marketing and engineering telecommunications perspectives), the purpose of this article is to create and analyze a conceptual framework and to propose a new methodology that encompasses different techniques for pervasive information gathering in hotels and for identifying clients' habits. Focusing on the future of hotels, this work presents new technologies for hotels suitable for correlating the customers' on-site activities with online activities including passive location tracking using Wi-Fi devices' connectivity, customer satisfaction evaluated via facial or voice recognition using inbuilt cameras/microphones altogether with data mining analysis. Moreover, this article explains how multidisciplinary consumer behavior can be analyzed by data mining to include this information in the vacation marketing approach for efficient business administration.

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“…[1][2][3] At present, the solutions include global positioning system (GPS), 4 Wi-Fi, 5 Bluetooth, 6 and ZigBee. 7 As a possible solution, radio-frequency identification device (RFID), 8 RFID Ultra Wideband (UWB), 9 and other technologies have attracted a lot of research attention. Each technology has its advantages and disadvantages.…”

Section: Introductionmentioning

confidence: 99%

“…It should be noted that these data are from three different studies. 8,11,12 the readers' antennas; when the RFID tags enter the magnetic field, they will receive the radio-frequency (RF) signal emitted by the readers; then, the RFID tag will send the product information stored in the chip to the readers (passive RFID tag), or actively send an RF signal to the readers (active RFID tag). Active RFID tag, with built-in battery, transmits the identification signal periodically and has a longer reading range compared to passive RFID tag; however, it is bigger in size, more expensive in price, and shorter in service life.…”

Section: Introductionmentioning

confidence: 99%

A three-dimensional localization algorithm for passive radio-frequency identification device tag

Liu

Zhong

Luo

2017

International Journal of Distributed Sensor Networks

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The accuracy and efficiency of radio-frequency identification device tag localization is significant to a large number of existing and upcoming radio-frequency identification device applications. In this article, we have introduced a novel method to locate a radio-frequency identification device tag in three-dimensional space. The proposed method uses readers with multiple power levels to locate the passive radio-frequency identification device tags. First, we preprocess the data and estimate the distances between the readers and target tag. Then, we use sphere trilateration method to estimate the location of the radio-frequency identification device tags in three-dimensional space. Finally, we use planar fit method and the method of least squares to reduce the localization error. Both the simulation and testbed experiment results have shown that the proposed method can reach a higher positioning accuracy with less radio-frequency identification device readers and more robust to the environment than other existing methods.

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Real-Time Wireless Location and Tracking System with Motion Pattern Detection

Cited by 7 publications

References 29 publications

Using Kalman Filters to Reduce Noise from RFID Location System

Using Kalman Filters to Reduce Noise from RFID Location System

Pervasive information gathering and data mining for efficient business administration

A three-dimensional localization algorithm for passive radio-frequency identification device tag

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