Efficient EOG-based movement classification in IoMT using machine learning algorithms for people with motor disabilities.
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| Title: | Efficient EOG-based movement classification in IoMT using machine learning algorithms for people with motor disabilities. |
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| Authors: | El-Gindy SA; High Institute for Engineering & Technology-Al Obour, Al Obour City, Egypt., El-Shafai W; Automated Systems and Computing Lab (ASCL), Prince Sultan University, Riyadh, Saudi Arabia., Soliman NF; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Alkanhel R; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Algarni AD; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Abd El-Samie FE; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. |
| Source: | Disability and rehabilitation. Assistive technology [Disabil Rehabil Assist Technol] 2026 Apr 21, pp. 1-43. Date of Electronic Publication: 2026 Apr 21. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Informa Healthcare Country of Publication: England NLM ID: 101255937 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1748-3115 (Electronic) Linking ISSN: 17483107 NLM ISO Abbreviation: Disabil Rehabil Assist Technol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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