Construction of Indoor Location Search System Using Bluetooth Low Energy

2017 ◽  
Author(s):  
Yuta Miyagawa ◽  
Norihisa Segawa
Keyword(s):  
Low Energy ◽  
Search System ◽  
Bluetooth Low Energy ◽  
Indoor Location

Indoor Location Using Bluetooth Low Energy Beacons

2018 ◽  
pp. 565-580 ◽  
Author(s):  
Ana Gomes ◽  
André Pinto ◽  
Christophe Soares ◽  
José M. Torres ◽  
Pedro Sobral ◽  
...  
Keyword(s):  
Low Energy ◽  
Bluetooth Low Energy ◽  
Indoor Location

Universal design – Bluetooth Low Energy-based navigation information systems for people with disabilities

BUILDER ◽  
2021 ◽  
Vol 294 (1) ◽  
pp. 32-35
Author(s):  
Marek Pabich ◽  
Magda Gajowiak
Keyword(s):  
Information Systems ◽  
Universal Design ◽  
People With Disabilities ◽  
Low Energy ◽  
Bluetooth Low Energy ◽  
Indoor Location ◽  
Global Positioning ◽  
Polish Government ◽  
Further Development ◽  
Navigation Information

The Universal Design aims to improve the functionality and accessibility of urbanized areas for all users, regardless of their physical, perceptual, or intellectual capability. This task is also a priority for the Polish government, however legislations do not provide clear solutions for supporting people with perceptual limitations. Contemporary technologies can support the spatial orientation of people with disabilities, allowing them to get around independently and safely. Bluetooth Low Energy (BLE) technology, unlike to the global positioning system (GPS), allows accurate indoor location and navigation. The purpose of this article is to discuss and benchmark two BLE-based navigation and information systems: The GuideBeacon supported by the IBeaconMap software and Totupoint. The result is a summary of the key functionality and limitations of both solutions and an indication of the prospects for further development.

scholarly journals A Low Energy IoT Application Using Beacon for Indoor Localization

2021 ◽  
Vol 11 (11) ◽  
pp. 4902
Author(s):  
Francesco Pascale ◽  
Ennio Andrea Adinolfi ◽  
Massimiliano Avagliano ◽  
Venanzio Giannella ◽  
Andres Salas
Keyword(s):  
Internet Of Things ◽  
Indoor Localization ◽  
Low Energy ◽  
Experimental Results ◽  
Bluetooth Low Energy ◽  
Indoor Location ◽  
Innovative Method

In recent years, a great number of applications in Internet of Things (IoT) have been developed. In this context, many methodologies and technologies are used for several frameworks, including indoor localization. In this field, as highlighted in recent years, one of the most important aims of modern indoor applications in IoT is to identify how to manage and correctly convey people flow. This study aims to investigate the most common methods, technologies and applications for indoor localization in IoT and analyze the major systems currently in use and the application of these solutions to actual conditions. Following this, we propose an innovative method to detect people flow in indoor location. Based on Bluetooth low energy (BLE) technology, in this paper we analyze the possibility to use our system for many kinds of applications. The first experimental results show good performance of our system.

scholarly journals Design information orientation supporting system for user

2020 ◽  
Vol 61 (1) ◽  
pp. 41-51
Author(s):  
Vu Tien Sinh ◽  
Vu Thi Quyen ◽  
Le Ngoc Huan ◽  
Truong Thi Huong ◽  
Keyword(s):  
Mobile Application ◽  
Effective Means ◽  
Low Energy ◽  
Design And Development ◽  
Bluetooth Low Energy ◽  
Supporting System ◽  
Design Information ◽  
Indoor Location ◽  
Self Development

The Bluetooth Low Energy (BLE) technology provides an effective means for indoor location and navigations by using Beacons - BLE devices that can transmit and receive signals over short distances. Device’s information and goods’ information that is linked to a Beacon can be archived by a mobile application, which is basically a Bluetooth - enabled application. In this paper, we present the design and development of an user - driven information IoT system based on the BLE technology. An experimental product, ESMarket, is a system that uses our self - development Beacon - ESBeacon for smart supermarkets with the ESBeacons are placed in a small supermarket shelves and a Bluetooth - enabled smartphone is used to install the digital supermarket application to communicate with these ESBeacons. The results show that when a smartphone appears within the ESBeacon range, it will display information related to the shelves on the screen.

scholarly journals Simultaneous Indoor Pedestrian Localization and House Mapping Based on Inertial Measurement Unit and Bluetooth Low-Energy Beacon Data

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4742
Author(s):  
Jesus D. Ceron ◽  
Felix Kluge ◽  
Arne Küderle ◽  
Bjoern M. Eskofier ◽  
Diego M. López
Keyword(s):  
Inertial Measurement Unit ◽  
Indoor Environment ◽  
Location Estimation ◽  
Low Energy ◽  
Measurement Unit ◽  
Localization Error ◽  
Bluetooth Low Energy ◽  
Data Movement ◽  
Inertial Measurement ◽  
Indoor Location

Indoor location estimation is crucial to provide context-based assistance in home environments. In this study, a method for simultaneous indoor pedestrian localization and house mapping is proposed and evaluated. The method fuses a person’s movement data from an Inertial Measurement Unit (IMU) with proximity and activity-related data from Bluetooth Low-Energy (BLE) beacons deployed in the indoor environment. The person’s and beacons’ localization is performed simultaneously using a combination of particle and Kalman Filters. We evaluated the method using data from eight participants who performed different activities in an indoor environment. As a result, the average participant’s localization error was 1.05 ± 0.44 m, and the average beacons’ localization error was 0.82 ± 0.24 m. The proposed method is able to construct a map of the indoor environment by localizing the BLE beacons and simultaneously locating the person. The results obtained demonstrate that the proposed method could point to a promising roadmap towards the development of simultaneous localization and home mapping system based only on one IMU and a few BLE beacons. To the best of our knowledge, this is the first method that includes the beacons’ data movement as activity-related events in a method for pedestrian Simultaneous Localization and Mapping (SLAM).

scholarly journals Development of a real‐time indoor location system using bluetooth low energy technology and deep learning to facilitate clinical applications

2020 ◽  
Vol 47 (8) ◽  
pp. 3277-3285
Author(s):  
Guanglin Tang ◽  
Yulong Yan ◽  
Chenyang Shen ◽  
Xun Jia ◽  
Meyer Zinn ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Clinical Applications ◽  
Low Energy ◽  
Energy Technology ◽  
Bluetooth Low Energy ◽  
Indoor Location ◽  
Location System
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