Deep Learning Techniques in Estimating Ankle Joint Power Using Wearable IMUs

Deep Learning Techniques in Estimating Ankle Joint Power Using Wearable IMUs

Estimating ankle joint power can be used to identify gait abnormalities, which is usually achieved by employing a complicated biomechanical model using heavy equipment settings. This paper demonstrates deep learning approaches to estimate ankle joint power from two Inertial Measurement Unit (IMU) se...

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Bibliographic Details
Main Authors: Arnab Barua, Umme Zakia, Carlo Menon, Xianta Jiang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Ankle joint power
Inertial Measurement Units
deep neural regressor
LSTM
CNN
feature extraction
Online Access:https://ieeexplore.ieee.org/document/9446169/

Internet

https://ieeexplore.ieee.org/document/9446169/

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