Pathological Gait Classification Using Early and Late Fusion of Foot Pressure and Skeleton Data

Pathological Gait Classification Using Early and Late Fusion of Foot Pressure and Skeleton Data

Classifying pathological gaits is crucial for identifying impairments in specific areas of the human body. Previous studies have extensively employed machine learning and deep learning (DL) methods, using various wearable (e.g., inertial sensors) and non-wearable (e.g., foot pressure plates and dept...

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Bibliographic Details
Main Authors: Muhammad Tahir Naseem, Haneol Seo, Na-Hyun Kim, Chan-Su Lee
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
deep learning
machine learning
early fusion
late fusion
foot pressure
skeleton
Online Access:https://www.mdpi.com/2076-3417/14/2/558

Internet

https://www.mdpi.com/2076-3417/14/2/558

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