Optimizing Representations of Multiple Simultaneous Attributes for Gait Generation Using Deep Learning-Reference-Cited by-同舟云学术

Optimizing Representations of Multiple Simultaneous Attributes for Gait Generation Using Deep Learning

Published:2023 Issue: Volume:31 Page:2296-2305
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Sharma Abhishek¹^ORCID,Rombokas Eric²^ORCID

Affiliation:

1. Department of Mechanical Engineering, University of Washington, Seattle, WA, USA

2. Department of Electrical and Computer Engineering and the Department of Mechanical Engineering, University of Washington, Seattle, WA, USA

Funder

NSF National Robotics Initiative Integrative

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

Reference22 articles.

3. A multimodal dataset of human gait at different walking speeds established on injury-free adult participants;schreiber;Data Science Journal,2019

5. A non-laboratory gait dataset of full body kinematics and egocentric vision;sharma;Data Science Journal,2023

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