Explainable AI for gait speed analysis from multimodal data fusion.
Saved in:
| Title: | Explainable AI for gait speed analysis from multimodal data fusion. |
|---|---|
| Authors: | Alharthi A; Department of Electrical Engineering, King Khalid University, Abha, Saudi Arabia., Al Ayidh A; Department of Electrical Engineering, King Khalid University, Abha, Saudi Arabia., Alqurashi A; Department of Electrical Engineering, Umm Al Qura University, Makkah, Saudi Arabia., Alammar M; Department of Electrical Engineering, King Khalid University, Abha, Saudi Arabia., Mohammad SS; Department of Electrical Engineering, University of Hafr Al Batin, Hafr Al Batin, Saudi Arabia., Bouchekara H; Department of Electrical Engineering, University of Hafr Al Batin, Hafr Al Batin, Saudi Arabia., Sha'aban YA; Department of Computer and Software Engineering, Embry-Riddle Aeronautical University, Prescott, Arizona, United States of America.; Center for International Studies, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America,., Alharbi TE; Department of Electrical Engineering, College of Engineering, Taif University, Taif, Saudi Arabia. |
| Source: | PloS one [PLoS One] 2026 Feb 27; Vol. 21 (2), pp. e0341067. Date of Electronic Publication: 2026 Feb 27 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
