An Activity Recognition Framework for Continuous Monitoring of Non-Steady-State Locomotion of Individuals with Parkinson’s Disease

An Activity Recognition Framework for Continuous Monitoring of Non-Steady-State Locomotion of Individuals with Parkinson’s Disease

Fundamental knowledge in activity recognition of individuals with motor disorders such as Parkinson’s disease (PD) has been primarily limited to detection of steady-state/static tasks (e.g., sitting, standing, walking). To date, identification of non-steady-state locomotion on uneven terrains (stair...

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Bibliographic Details
Main Authors: Mahdieh Kazemimoghadam, Nicholas P. Fey
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
activity recognition
classification schemes
non-steady-state locomotion
Parkinson’s disease
Online Access:https://www.mdpi.com/2076-3417/12/9/4682

Internet

https://www.mdpi.com/2076-3417/12/9/4682

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