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http://bura.brunel.ac.uk/handle/2438/31201| Title: | A Computer Vision Model to Support Individuals with Disabilities Within University Campuses |
| Authors: | Nascimento dos Santos, AC de Paula, K Vidal, MTL da Silva, JMM de Sousa, C Fernandes, LAF de Castro, TB Bedo, M Kohwalter, TC Bastos, CAM Seixas, FL Fernandes, NC Muchaluat-Saade, DC Ghinea, G |
| Keywords: | fall detection;computer vision;healthcare;human activity recognization;campus safety;proactive security |
| Issue Date: | 18-Nov-2024 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | Nascimento dos Santos, A.C. et al. (2024) 'A Computer Vision Model to Support Individuals with Disabilities Within University Campuses', 2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024, Nara, Japan, 18-20 November, pp. 1 - 7. doi: 10.1109/HEALTHCOM60970.2024.10880838. |
| Abstract: | This study introduces MCOF, a multi-camera, computer vision-based system designed to assist visually impaired individuals with mobility on university campuses. The system operates locally and achieves the following performance metrics: (i) detecting body points within 1.2. 10–2seconds, (ii) identifying people, objects, and animals in 2.4. 10–2seconds, and (iii) detecting movements in 5.1. 10−2 seconds. These results were obtained using a GTX 1,660 GPU with up to 6 cameras (or a 6,112MB stream) running concurrently. According to the MCOF architecture, events trigger tickets that are sent to an external information system, which can then implement its own safety and personnel protocols. Additionally, MCOF includes modules to handle electrical and network failures and features an obstruction detection routine for the cameras. |
| URI: | https://bura.brunel.ac.uk/handle/2438/31201 |
| DOI: | https://doi.org/10.1109/HEALTHCOM60970.2024.10880838 |
| ISBN: | 979-8-3503-5054-8 (ebk) 979-8-3503-5055-5 (PoD) |
| Other Identifiers: | ORCiD: Gheorghita Ghinea https://orcid.org/0000-0003-2578-5580 |
| Appears in Collections: | Dept of Computer Science Research Papers |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText..pdf | Copyright © 2024 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works ( https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ ). | 1.59 MB | Adobe PDF | View/Open |
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