Magnetic Localization System for Short-Range Positioning: A Ready-to-Use Design Tool

Ferrigno, Luigi; Laracca, Marco; Milano, F.; Cerro, Gianni; Bellitti, Paolo; Serpelloni, Mauro; Casas, Óscar

doi:10.1109/tim.2020.3035397

Cited by 19 publications

(4 citation statements)

References 25 publications

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“…The usefulness of this type of simulator is evidenced by the large number of works in which a previous modelling of the real system is done. Some examples are the work developed by [9] to model a positioning system based on magnetic technology or the one developed in [10] for a UWB system. Some other works can be found when restricting the search to systems based on visible light.…”

Section: Introductionmentioning

confidence: 99%

Precise Local Positioning of a Mobile Device Based on Pose Reconstruction From a Visible Light Beacon

Gutiérrez,

Aguilera,

Álvarez

et al. 2024

IEEE Access

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This paper proposes an indoor positioning system for mobile devices using visible light beacons. The device's camera is used to acquire images in which the beacon appears. An algorithm processes these images to reconstruct the camera's pose at the photo acquisition time. This reconstruction allows for estimating the camera position accurately. The system operation is tested by a simulator based on Blender. This simulator allows for setting the beacon and camera characteristics, taking samples in rooms of different dimensions and analysing and studying the results obtained. In addition, an Android application for the real system has been developed to take samples and analyse them to estimate the mobile device's position. Finally, a comparison between the real and simulated systems is made. For this purpose, a test bench grid of 0.8 m × 1.1 m with 391 test points is designed. The simulator offers an average fidelity 97 % and can automate the sampling process. An average error of 7.49 × 10 −3 m and coverage of 100 % are achieved with the camera and LED panel facing each other. The test bench real system achieves an average positioning error of less than 20.44 × 10 −3 m, having a coverage close to 80 % and decreasing performance when the beacons are not fully captured. Finally, an experimental study of the system scalability has been carried out in a test room where four coded beacons have been deployed covering an area of 2.4×3.6 m 2 . Results over two different trajectories show reasonable losses of accuracy and coverage compared to the simulation and test bench, especially in the transition between beacons. INDEX TERMSLocal positioning, mobile device, pose reconstruction, visible light. 18 CMOS cameras. With the help of additional sensors (an 19 inclinometer and a magnetometer), they achieve accuracy 20 in the low decimeter range. The centroid of each beacon is 21 used for the location estimation. A 30 Frames per Second 22 (FPS) video stream from a static digital camera, placed at 23 a known height, is captured and processed in an auxiliary 24 computer. The greater the number of beacons used, the better 25 the accuracy provided in position estimation. The system has 26 a coverage of 15×20 m 2 , and the positioning is evaluated at 27 different heights offering a Mean Absolute Error (MAE) of 28 0.17 m when four or more beacons are used.

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Section: Introductionmentioning

confidence: 99%

Precise Local Positioning of a Mobile Device Based on Pose Reconstruction From a Visible Light Beacon

Gutiérrez,

Aguilera,

Álvarez

et al. 2024

IEEE Access

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“…In [ 7 ], short-range magnet localization is tested and evaluated for accuracy, and a simulation tool is developed to estimate the configuration needed for a desired level of accuracy. The paper presents the theoretical concepts and is designed for magnetic fields generated by coils, rather than permanent magnets.…”

Section: Introductionmentioning

confidence: 99%

Low Cost Magnetic Field Control for Disabled People

Acosta

Fariña

Toledo

et al. 2023

Sensors

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Our research presents a cost-effective navigation system for electric wheelchairs that utilizes the tongue as a human–machine interface (HMI) for disabled individuals. The user controls the movement of the wheelchair by wearing a small neodymium magnet on their tongue, which is held in place by a suction pad. The system uses low-cost electronics and sensors, including two electronic compasses, to detect the position of the magnet in the mouth. One compass estimates the magnet’s position while the other is used as a reference to compensate for static magnetic fields. A microcontroller processes the data using a computational algorithm that takes the mathematical formulations of the magnetic fields as input in real time. The system has been tested using real data to control an electric wheelchair, and it has been shown that a trained user can effectively use tongue movements as an interface for the wheelchair or a computer.

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“…In recent years, many indoor positioning techniques have been proposed in the literature, and different technologies have appeared on the market [5,6]. The most prominent technologies include transmission of ultrasound [7][8][9][10][11], magnetic fields [12][13][14], infrared (IR) and radio frequency (RF) signals, Wi-Fi, Zigbee, radio frequency identification (RFID), Bluetooth, and Bluetooth Low Energy (BLE) packets [15][16][17][18][19][20][21][22][23][24][25][26][27][28]. Typically, the positioning techniques are based on the measurement of physical parameters such as the received signal strength (RSS), angle of arrival (AOA), Time of Flight (ToF), and Time Difference of Arrival (TDoA).…”

Section: Introductionmentioning

confidence: 99%

Using Bluetooth Low Energy Technology to Perform ToF-Based Positioning

et al. 2021

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Many distributed systems that perform indoor positioning are often based on ultrasound signals and time domain measurements exchanged between low-cost ultrasound transceivers. Synchronization between transmitters and receivers is usually needed. In this paper, the use of BLE technology to achieve time synchronization by wirelessly triggered ultrasound transceivers is analyzed. Building on a previous work, the proposed solution uses BLE technology as communication infrastructure and achieves a level of synchronization compatible with Time of Flight (ToF)-based distance estimations and positioning. The proposed solution was validated experimentally. First, a measurement campaign of the time-synchronization delay for the adopted embedded platforms was carried out. Then, ToF-based distance estimations and positioning were performed. The results show that an accurate and low-cost ToF-based positioning system is achievable, using ultrasound transmissions and triggered by BLE RF transmissions.

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Magnetic Localization System for Short-Range Positioning: A Ready-to-Use Design Tool

Cited by 19 publications

References 25 publications

Precise Local Positioning of a Mobile Device Based on Pose Reconstruction From a Visible Light Beacon

Precise Local Positioning of a Mobile Device Based on Pose Reconstruction From a Visible Light Beacon

Low Cost Magnetic Field Control for Disabled People

Using Bluetooth Low Energy Technology to Perform ToF-Based Positioning

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