Exploring computer vision algorithms in assistive technologies: a systematic literature review
DOI:
https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1326Keywords:
Visual Impairment, Systematic Review of Literature, Computational VisionAbstract
Objective: This article presents a systematic literature review of studies that propose algorithms for computer vision (CV) applications aimed at visually impaired individuals. The objective is to identify these studies and understand the purpose of each solution in mapping applications geared towards digital health access. Method: A systematic literature review was conducted by searching major open-access scientific article databases. Results: Initially, 360 studies were identified, but only six articles were selected based on stringent inclusion and exclusion criteria. Conclusion: The review reveals the existence of research utilizing CV for developing devices with various functionalities for visually impaired individuals. However, none of the studies found address the use of computer vision for technologies focused on health access or reducing accessibility barriers in digital health.
References
Pettersson, L., Johansson, S., Demmelmaier, I., & Gustavsson, C. (2023). Disability digital divide: survey of accessibility of eHealth services as perceived by people with and without impairment. BMC Public Health, 23(1), 181. DOI: https://doi.org/10.1186/s12889-023-15094-z
Aguiar, A. S. C. D., Almeida, P. C. D., Grimaldi, M. R. M., & Guimarães, F. J. (2022). Health education technologies for people with visual impairment: integrative review. Texto & Contexto-Enfermagem, 31, e20210236. DOI: https://doi.org/10.1590/1980-265x-tce-2021-0236pt
OMS. Relatório Mundial da Visão. Light for the World, 1 edition, 2021. ISBN 9789241516570.
Fank, E., Bevilacqua, F., Duarte, D., & Scapinello, A. INSIDe: Image recognition tool aimed at helping visually impaired people contextualize indoor environments. Revista Brasileira de Computação Aplicada, 11(3), 59-71, 2019. DOI: https://doi.org/10.5335/rbca.v11i3.9455
Ricarte, I. M. & Galvão, M. C. B. Revisão sistemática da literatura: Conceituação, produção e publicação. Logeion: Filosofia da Informação, 6(1):57–73, set. 2019. DOI: https://doi.org/10.21728/logeion.2019v6n1.p57-73
Younis, O. et al. A hazard detection and tracking system for people with peripheral vision loss using smart glasses and augmented reality. International Journal of Advanced Computer Science and Applications, 10(2), 2019. doi: 10.14569/IJACSA.2019.0100201 DOI: https://doi.org/10.14569/IJACSA.2019.0100201
Khan, M. A. et al. An ai-based visual aid with integrated reading assistant for the completely blind. IEEE Transactions on Human-Machine Systems, 50 (6):507–517, 2020. doi: 10.1109/THMS.2020.3027534 DOI: https://doi.org/10.1109/THMS.2020.3027534
Chessa, M. et al. An integrated artificial vision framework for assisting visually impaired users. Computer Vision and Image Understanding, 149:209–228, 2016. ISSN 1077-3142. doi: 10.1016/j.cviu.2015.11.007 DOI: https://doi.org/10.1016/j.cviu.2015.11.007
Kim, K. et al. Assisting people with visual impairments in aiming at a target on a large wall-mounted display. International Journal of Human-Computer Studies, 86:109–120, 2016. ISSN 1071- 5819. doi: 10.1016/j.ijhcs.2015.10.002. DOI: https://doi.org/10.1016/j.ijhcs.2015.10.002
Tapu, R.; Mocanu, B. & Zaharia, T. Deep-see: Joint object detection, tracking and recognition with application to visually impaired navigational assistance. Sensors, 17(11), 2017. ISSN 1424-8220. doi: 10.3390/s17112473 DOI: https://doi.org/10.3390/s17112473
Mascetti, S. et al. A. Robust traffic lights detection on mobile devices for pedestrians with visual impairment. Computer Vision and Image Understanding, 148, 123-135. 2016 doi: https://doi.org/10.1016/j.cviu.2015.11.017 DOI: https://doi.org/10.1016/j.cviu.2015.11.017
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Submission of a paper to Journal of Health Informatics is understood to imply that it is not being considered for publication elsewhere and that the author(s) permission to publish his/her (their) article(s) in this Journal implies the exclusive authorization of the publishers to deal with all issues concerning the copyright therein. Upon the submission of an article, authors will be asked to sign a Copyright Notice. Acceptance of the agreement will ensure the widest possible dissemination of information. An e-mail will be sent to the corresponding author confirming receipt of the manuscript and acceptance of the agreement.