Browsing by Author "Hermann, J"

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Embargo
Enhanced algorithmic implementation to assist real-time indoor map generation for vision impaired individuals
(IEEE, 2018-08-08) Jayakody, A; Murray, I; Hermann, J; Lokuliyana, S; Dunuwila, V. R
The complexity of indoor environments has made navigation difficult for vision impaired individuals as well as individuals with clear vision. Although handheld mobility devices have been developed to assist the vision impaired in navigation, they are incapable of capturing parameters such as distance, angle and direction. This paper presents an appraised framework; the Accessible Building Information Model (AccessBIM), which could be used for generating an indoor map in real-time with the classification of real world objects and their locations. The AccessBIM database is equipped with two optimization algorithms; a database optimization algorithm that reduces the time of query execution through indexing, query re-writing, schema redesigning and a memory optimization algorithm known as “Memcache”. Five scenarios were tested using a simulator to determine the accuracy of the map that is generated. The use of the two algorithms ensured that the real-time map generated through the data collected from the simulation environment was similar to the actual floor plan. Hence, it can be concluded that the AccessBIM framework has the potential to play an integral role in assistive technologies related to localization and mapping, thus significantly improving the quality of life for individuals with vision impairment.
Open Access
Intelligent Vision Impaired Indoor Navigation Using Visible Light Communication
(Springer, Cham, 2020) Jayakody, A; Murray, I; Hermann, J; Lokuliyana, S; Dunuwila, V
Recent statistics of the World Health Organization (WHO) indicate that over 253 million of the world’s population to be visually impaired. Most of these individuals use the white cane as an assistive tool or are often accompanied by caretakers or voluntary helpers as indoor navigation is particularly challenging for them. This chapter describes a substitute vision system designed to assist vision impaired individuals through the use of visible light communication and geomagnetism. Furthermore, the use of database optimization increases the speed and efficiency of data retrieval thus reducing system response time. Though navigation systems that support the visual impaired are readily available, there have been no systems that use both visible light communication and geomagnetism capable of providing accurate and secure indoor navigation assistance, which in turn would increase the overall satisfaction of the system users.
Embargo
Tempcache: A Database Optimization Algorithm for Real-Time Data Handling in Indoor Spatial Environments
(IEEE, 2018-08-08) Jayakody, A; Murray, I; Hermann, J; Lokuliyana, S; Dunuwila, V. R
The unstable arrangement of modern indoor environments has made navigation within buildings a difficult task. Hence, this paper introduces the AccessBIM framework, which is an efficient real-time indoor navigation system that facilitates in generating a real-time indoor map by crowdsourcing spatial data through the sensors available in mobile devices of navigators. The framework is equipped with a database optimization algorithm known as “Tempcache” which reduces the time and cost of searching data by examining the AccessBIM database for previously navigated paths, thus enabling faster data retrieval through efficient query processing. A simulation of a virtual environment similar to an actual indoor environment was used to test the algorithm. The significance of the algorithm was validated by comparing the total map generation time before and after the algorithm was applied for which the results demonstrated a reduction in map generation time with the use of the algorithm. The framework is also capable of capturing localization information with the support of i-Beacons which is then stored in a cloud server.