Individualized Gait Trajectory Prediction Based on Fusion LSTM Networks for Robotic Rehabilitation Training

Jia, L, Ai, Q, Meng, W et al. (2 more authors) (2021) Individualized Gait Trajectory Prediction Based on Fusion LSTM Networks for Robotic Rehabilitation Training. In: IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics. 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 12-16 Jul 2021, Delft, Netherlands. IEEE , pp. 988-993. ISBN 978-1-6654-4139-1

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Copyright, Publisher and Additional Information: ©2021 IEEE. This is an author produced version of a paper published in IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Published: 24 August 2021
  • Accepted: 12 June 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 29 Oct 2021 14:37
Last Modified: 29 Oct 2021 14:37
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/aim46487.2021.9517616

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