New Framework for Human Activity Recognition for Wearable Gait Rehabilitation Systems

New Framework for Human Activity Recognition for Wearable Gait Rehabilitation Systems

This paper presents a novel Human Activity Recognition (HAR) framework using wearable sensors, specifically targeting applications in gait rehabilitation and assistive robots. The new methodology includes the usage of an open-source dataset. This dataset includes surface electromyography (sEMG) and...

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Bibliographic Details
Main Authors: A. Moawad, Mohamed A. El-Khoreby, Shereen I. Fawaz, Hanady H. Issa, Mohammed I. Awad, A. Abdellatif
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied System Innovation
Subjects:
lower limb exoskeletons
human activity recognition
signal conditioning techniques
features extraction
machine learning techniques
Online Access:https://www.mdpi.com/2571-5577/8/2/53
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