Characterizing Bodyweight-Supported Treadmill Walking on Land and Underwater Using Foot-Worn Inertial Measurement Units and Machine Learning for Gait Event Detection

Characterizing Bodyweight-Supported Treadmill Walking on Land and Underwater Using Foot-Worn Inertial Measurement Units and Machine Learning for Gait Event Detection

Gait rehabilitation commonly relies on bodyweight unloading mechanisms, such as overhead mechanical support and underwater buoyancy. Lightweight and wireless inertial measurement unit (IMU) sensors provide a cost-effective tool for quantifying body segment motions without the need for video recordin...

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Bibliographic Details
Main Authors: Seongmi Song, Nathaniel J. Fernandes, Andrew D. Nordin
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
machine learning
gait event detection
reduced gravity
mechanical body weight support
underwater walking
Online Access:https://www.mdpi.com/1424-8220/23/18/7945

Internet

https://www.mdpi.com/1424-8220/23/18/7945

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