Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence

A novel approach is presented in this study for the classification of lower limb disorders, with a specific emphasis on the knee, hip, and ankle. The research employs gait analysis and the extraction of PoseNet features from video data in order to effectively identify and categorize these disorders....

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Hafeez Ur Rehman Siddiqui, Adil Ali Saleem, Muhammad Amjad Raza, Santos Gracia Villar, Luis Alonso Dzul Lopez, Isabel de la Torre Diez, Furqan Rustam, Sandra Dudley
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2023-09-01
Σειρά:	Diagnostics
Θέματα:	lower limb disorder PoseNet gait analysis machine learning Artificial Neural Networks
Διαθέσιμο Online:	https://www.mdpi.com/2075-4418/13/18/2881
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