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Using a Deep Learning Method and Data from Two-Dimensional (2D) Marker-Less Video-Based Images for Walking Speed Classification.
Sikandar, Tasriva; Rabbi, Mohammad F; Ghazali, Kamarul H; Altwijri, Omar; Alqahtani, Mahdi; Almijalli, Mohammed; Altayyar, Saleh; Ahamed, Nizam U.
Affiliation
  • Sikandar T; Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan 26600, Malaysia.
  • Rabbi MF; School of Allied Health Sciences, Griffith University, Gold Coast, QLD 4222, Australia.
  • Ghazali KH; Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan 26600, Malaysia.
  • Altwijri O; Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh 11451, Saudi Arabia.
  • Alqahtani M; Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh 11451, Saudi Arabia.
  • Almijalli M; Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh 11451, Saudi Arabia.
  • Altayyar S; Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh 11451, Saudi Arabia.
  • Ahamed NU; Neuromuscular Research Laboratory/Warrior Human Performance Research Center, Department of Sports Medicine and Nutrition, University of Pittsburgh, Pittsburgh, PA 15203, USA.
Sensors (Basel) ; 21(8)2021 Apr 17.
Article in En | MEDLINE | ID: mdl-33920617
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Walking Speed / Deep Learning Limits: Aged / Humans Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Walking Speed / Deep Learning Limits: Aged / Humans Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Affiliation country: Country of publication: