Gait Phase Estimation of Unsupervised Outdoors Walking Using IMUs and a Linear Regression Model

Gait Phase Estimation of Unsupervised Outdoors Walking Using IMUs and a Linear Regression Model

Human gait analysis and detection are critical for many applications, including wearable and rehabilitation robotic devices, reducing or tracking injury risk. The proposed work allows researchers to study the gait phase of human subjects in an unsupervised outdoor environment without the need for fi...

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Bibliographic Details
Main Authors: Ahmed Soliman, Guilherme A. Ribeiro, Andres Torres, Li-Fan Wu, Mo Rastgaar
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Biomechanics
gait analysis
heel strike
PCA
machine learning
prosthesis
Online Access:https://ieeexplore.ieee.org/document/9973316/

Internet

https://ieeexplore.ieee.org/document/9973316/

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