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Title: 3D simulation of navigation problem of people with cerebral visual impairment
Authors: Al-Fadhili, Yahya Q.I.
Chung, Paul Wai Hing
Li, Baihua
Bowman, Richard
Keywords: Vision impairment simulation
Cerebral visual impairment
AI based modeling and navigation
Issue Date: 2018
Publisher: © Springer
Citation: AL-FADHILI, Y. Q. I. ... et al., 2018. 3D simulation of navigation problem of people with cerebral visual impairment. In: Chao F., Schockaert S. and Zhang Q. (eds) Advances in Computational Intelligence Systems. UKCI 2017. Advances in Intelligent Systems and Computing. Cham: Springer, 650, pp. 265 - 275.
Series/Report no.: Advances in Intelligent Systems and Computing;650
Abstract: Cerebral Visual Impairment (CVI) is a medical area that concerns the study of the effect of brain damages on the visual field (VF). People with CVI have difficulties in their mobility and they have behaviours that others find hard to understand due to their visual impairment. A branch of Artificial Intelligence (AI) is the simulation of behaviour by building computational models that help to explain how people solve problems or why they behave in a certain way. This paper describes a novel computational system that simulates the navigation problem that is faced by people with CVI. This will help relatives, friends, and ophthalmologists of CVI patients understand more about their difficulties in navigating their everyday environment. The navigation simulation system is implemented using the Unity3D game engine. Virtual scenes of different living environment are also created using the Unity modelling software. The vision of the avatar in the virtual environment is implemented using a camera provided by the 3D game engine. Filters that mimic visual defects are created automatically and placed in front of the visual field of the avatar. The filters are based on the visual field charts of individual patients. Algorithms for navigation based on the limited vision have also been developed to demonstrate navigation problems because of the visual defects. The results showed different actions for the navigation behaviours according to the patients’ vision, and the navigations differ from patient to another according to their different defects.
Description: This is a pre‐copyedited version of a contribution published in Chao F., Schockaert S., Zhang Q. (eds) Advances in Computational Intelligence Systems. UKCI 2017. Advances in Intelligent Systems and Computing, vol 650. Springer, Cham. The definitive authenticated version is available online via https://doi.org/10.1007/978-3-319-66939-7_23.
Sponsor: This work was implemented during Mr Yahya Al-Fadhili was a PhD student at Loughborough University, UK. The authors thank the Iraqi (MOHESR) for the scholarship funding.
Version: Accepted for publication
DOI: 10.1007/978-3-319-66939-7_23
URI: https://dspace.lboro.ac.uk/2134/26912
Publisher Link: https://doi.org/10.1007/978-3-319-66939-7_23
ISSN: 2194-5357
Appears in Collections:Published Articles (Computer Science)

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