posted on 2017-10-11, 10:24authored byYahya Q.I. Al-Fadhili, Paul Chung, Baihua LiBaihua Li, Richard Bowman
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.
Funding
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.
History
School
Science
Department
Computer Science
Published in
Advances in Intelligent Systems and Computing
Volume
650
Pages
265 - 275
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.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2018
Notes
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.