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An intelligent framework for visually impaired people through indoor object Detection-Based assistive system using YOLO with recurrent neural networks.

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第一作者： Marwa,Obayya

第一单位： Department of Biomedical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.

作者： Marwa,Obayya ^[1] ; Fahd N,Al-Wesabi ^[2] ; Wafi,Bedewi ^[3] ; Menwa,Alshammeri ^[4]

作者单位： Department of Biomedical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia. ^[1] Department of Computer Science, Applied College at Mahayil, King Khalid University, Abha, Saudi Arabia. falwesabi@kku.edu.sa.;King Salman Centre for Disability Research, Riyadh, 11614, Saudi Arabia. falwesabi@kku.edu.sa. ^[2] Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia. ^[3] Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia. ^[4]

关键词 Assistive system Deep learning Feature extraction Ivy optimisation algorithm Object detection Visually impaired people

医学主题词人类(Humans);算法(Algorithms);自助装置(Self-Help Devices);图像处理, 计算机辅助(Image Processing, Computer-Assisted)

DOI 10.1038/s41598-025-27603-8

PMID 41387502

发布时间 2025-12-15

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准确一般字义偏差语意偏离译文作用小提交