Abstract

Localization for visually impaired people in dynamically changing environments with unexpected hazards and obstacles is a current need. Many techniques have been discussed in the literature with respect to location-based services and techniques used for the positioning of devices. Time difference of arrival (TDOA), time of arrival (TOA) and received signal strength (RSS) have been widely used for the positioning but narrow band signals such as Bluetooth cannot efficiently utilize TDOA or TOA. Received signal strength indicator (RSSI) to measure RSS, has been found to be more reliable. RSSI measurement estimations depend heavily on the environmental interference. RSSI measurement estimations of Bluetooth systems can be improved either by improving the existing methodologies used to implement them or by using fusion techniques that employ Kalman filters to combine more than one RSSI method to improve the results significantly. This paper focuses on improving the existing methodology of measuring RSSI by proposing a new method using trilateration for localization of Bluetooth devices for visually impaired people. To validate the new method, class 2 Bluetooth devices (Blue Giga WT-12) were used with an evaluation board. The software required was developed in National Instruments LabView. The PCB was designed and manufactured as well. Experiments were then conducted, and surface plots of Bluetooth modules were obtained to show the signal interference and other environmental effects. Lastly, the results were discussed, and relevant conclusions were drawn.

Highlights

  • The navigation from one place to another addressing the security and mobility of visually impaired persons travelling through city streets and buildings in unfamiliar environments is a major political and technical challenge for modern society [1] [2]

  • This paper focuses on improving the existing methodology of measuring Received signal strength indicator (RSSI) by proposing a new method using trilateration for localization of Bluetooth devices for visually impaired people

  • This paper focuses on the techniques for improving the existing methodology for measuring RSSI and finding the source to help localization of the subject from the Bluetooth devices

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Summary

Introduction

The navigation from one place to another addressing the security and mobility of visually impaired persons travelling through city streets and buildings in unfamiliar environments is a major political and technical challenge for modern society [1] [2]. Most of the time visually impaired persons must rely on regular and repetitive routes with the least obstructions They often participate in orientation and mobility (O & M) sessions where instructors provide training to get familiar with a new space. GPS must rely on relative positioning incorporating sensors like digital tags, active badges, thermistors, accelerometers, photodiodes and beacons [9]. Alternatives such as ultrasound [10], radio frequency identification transponders [11], using a robotic dog-guide [12], or an instrumented white cane [13], have been used for mobility and indoor orientation tasks for visually impaired people. Radio map approaches using Bluetooth and Wi-Fi have assisted in providing an indoor positioning system (IPS) [15]

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