Intelligent assistance system for people with visual impairments
DOI:
https://doi.org/10.30837/2522-9818.2024.28.006Keywords:
system; assistant; vision; LiDAR; video; trajectory; prediction; intelligent system; recognition; classification.Abstract
Subject of the Research: The creation of an intelligent assistance system for people with visual impairments. Nowadays, the task of developing effective intelligent assistance systems that allow people with vision problems to achieve maximum independence is important and relevant, as existing systems have a number of drawbacks, such as limited autonomy, limited integration with other devices and systems, limited analysis of dynamic obstacles, and limited user feedback capabilities, which in most cases are restricted to voice guidance. Objective: The objective of this work is to create a generalized functional model of an intelligent assistance system for people with visual impairments, which has enhanced autonomy, integration with other devices and systems, the ability to analyze dynamic objects and predict their movement trajectory, and provide diverse feedback to the user. Tasks: To achieve the set objective, the following tasks were accomplished: a generalized functional model of the proposed intelligent assistance system for people with visual impairments was created; the functional dependencies of the components of the developed model were substantiated; a review of the basic modules of the proposed system model was conducted. Methods: The methods used include functional modeling methods and system analysis methods. Results: The following results were obtained: a functional model of an intelligent assistance system for people with visual impairments was proposed. This system surpasses existing analogs in a number of functional capabilities: detection of static and dynamic obstacles with prediction of dynamic obstacles’ movement trajectory, the ability to operate in various conditions (indoors, outdoors, in light or dark, in different weather conditions), support for integration with other systems and devices, and a high level of autonomy. Conclusions: The developed system model has enhanced autonomy, integration with other devices and systems, the ability to analyze dynamic objects and predict their movement trajectory, and provides diverse feedback to the user.
References
References
IAPB (2020), "Global Estimates of Vision Loss. The International Agency for the Prevention of Blindness", available at: https://www.iapb.org/learn/vision-atlas/magnitude-and-projections/global/ (last accessed 25 March 2024).
WHO (2023), "Blindness and vision impairment. World Health Organization", available at: https://www.who.int/news-room/fact-sheets/detail/blindness-and-visual-impairment (last accessed 25 March 2024).
Lynsey, K. Romo,1, Cimmiaron, Alvarez, Melissa, J. Taussig (2023), "An examination of visually impaired individuals communicative negotiation of face threats", Journal of Social and Personal RelationshipsVolume 40, Issue 1, January 2023, DOI: https://doi.org/10.1177/02654075221114048
Samyak, Lalit, Wecapable (2021), "Daily Life Problems, Struggle and Challenges Faced by Blind People. Wecapable", available at: https://wecapable.com/problems-faced-by-blind-people/ (last accessed 25 March 2024)
Shubham, Melvin Felix, Sumer, Kumar, A. Veeramuthu (2018), "A Smart Personal AI Assistant for Visually Impaired People", Proceedings of the 2nd International Conference on Trends in Electronics and Informatics (ICOEI 2018), DOI: http://dx.doi.org/10.1109/ICOEI.2018.8553750
Xiaochen, Zhang, Xiaoyu, Yao, Yi Zhu, Fei Hu (2019), "An ARCore Based User Centric Assistive Navigation System for Visually Impaired People", Appl. Sci. 9(5), 989 р, DOI: https://doi.org/10.3390/app9050989
Bineeth, Kuriakose, Raju, Shrestha, Frode, Eika Sandnes (2023), "DeepNAVI: A deep learning based smartphone navigation assistant for people with visual impairments", Expert Systems with Applications 212 (2023) 118720, DOI: https://doi.org/10.1016/j.eswa.2022.118720
Audun, Brunes, Trond, Heir (2021), "Serious Life Events in People with Visual Impairment Versus the General Population", Int. J. Environ. Res. Public Health, 18, 11536 р, DOI: https://doi.org/10.3390/ijerph182111536
Kaushal, Kumar (2023), "An intelligent Assistant for the Visually Impaired & blind people using machine learning, International Journal of Imaging and Robotics 20(3)". available at: https://www.researchgate.net/publication/342561852_An_intelligent_Assistant_for_the_Visually_Impaired_blind_people_using_machine_learning (last accessed 25 March 2024)
Surabhi, Suresh, Sandra S, Aisha Thajudheen, Subina Hussain, Amitha R (2023), "An Intelligent Voice Assistance System For The Visually Impaired People", International Journal of Engineering Research & Technology (IJERT) Volume 11, Issue 04 (2023), DOI: https://doi.org/10.17577/IJERTCONV11IS04022
"YOLOv9: A Leap Forward in Object Detection Technology", available at: https://docs.ultralytics.com/models/yolov9/ (last accessed 22 May 2024).
Real, S., Araujo, A. (2029), "Navigation systems for the blind and visually impaired: Past work, challenges, and open problems" Sensors. Vol. 19. №. 15. 3404 р. DOI:10.3390/s19153404
Bhowmick, A., Hazarika, S. M. (2017), "An insight into assistive technology for the visually impaired and blind people: state-of-the-art and future trends", Journal on Multimodal User Interfaces. Т. 11. Р. 149–172. DOI: 10.1007/s12193-016-0235-6
Elmannai, W., Elleithy, K. (2017), "Sensor-based assistive devices for visually-impaired people: Current status, challenges, and future directions", Sensors. Vol. 17. №. 3. Р. 565. DOI: 10.3390/s17030565
Sayama, H. (2015), "Introduction to the modeling and analysis of complex systems. Open SUNY Textbooks". available at: https://open.umn.edu/opentextbooks/textbooks/233 (last accessed 25 March 2024)
Yildirim, U., Campean, F., Williams, H. (2017), "Function modeling using the system state flow diagram", Artificial Intelligence for Engineering Design Analysis and Manufacturing. Vol.31. №. 4. Р. 413–435. DOI: 10.1017/S0890060417000294
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Our journal abides by the Creative Commons copyright rights and permissions for open access journals.
Authors who publish with this journal agree to the following terms:
Authors hold the copyright without restrictions and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-commercial and non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
Authors are permitted and encouraged to post their published work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of published work.
