Beacon-based wayfinding for people with disabilities
Abstract
There are currently few options for navigational aids for people with disabilities, specially those
who are the blind and visually impaired (BVI) in indoor spaces and around buildings. Indoor environments
can be geographically large and intimidating such as grocery stores, airports, sports stadiums,
large office buildings, and hotels. Thus, reading and following signs still remains the most
common mechanism for providing and receiving wayfinding information in such spaces. Such
indoor spaces can be difficult to navigate even for those without disabilities if they are disoriented
due to unfamiliarity or other reasons. This dissertation presents a wayfinding system called Guide-
Beacon that can be used by BVI individuals to navigate their surroundings beyond what is possible
with just a GPS based system. The GuideBeacon system allows users equipped with smartphones
to interact with Bluetooth-based beacons deployed strategically within the indoor space of interest
to navigate their surroundings. A major challenge in deploying such beacon-based navigation
systems is the need to employ a time and labor-expensive beacon planning process to identify
potential beacon placement locations and arrive at a topological structure representing the indoor
space. Thus, this work presents a technique called IBeaconMap for creating such topological
structures to use with beacon-based navigation. Using GuideBeacon as the underlying layer, this
dissertation additionally proposes an inclusive emergency evacuation system called SafeExit4All
that empowers people with disabilities (in addition to the general population) to independently
find a safe exit under emergency scenarios. Finally, this work describes an indoor-outdoor navigation
system called CityGuide which leverages the GuideBeacon in conjunction with GPS signals
to enable a BVI individual to query and get turn-by-turn shortest route directions from an indoor
location to their desired destination outdoor.
Description
Thesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Electrical Engineering & Computer Science
