Improving IMU-Based Prediction of Lower Limb Kinematics in Natural Environments Using Egocentric Optical Flow

Improving IMU-Based Prediction of Lower Limb Kinematics in Natural Environments Using Egocentric Optical Flow

We seek to predict knee and ankle motion using wearable sensors. These predictions could serve as target trajectories for a lower limb prosthesis. In this manuscript, we investigate the use of egocentric vision for improving performance over kinematic wearable motion capture. We present an out-of-th...

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Bibliographic Details
Main Authors: Abhishek Sharma, Eric Rombokas
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Egocentric vision
deep learning
gait prediction
prosthetics
regression
Online Access:https://ieeexplore.ieee.org/document/9729197/

Internet

https://ieeexplore.ieee.org/document/9729197/

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