Exploration of deep learning-driven multimodal information fusion frameworks and their application in lower limb motion recognition

Zhang, C., Yu, Z., Wang, X. et al. (3 more authors) (2024) Exploration of deep learning-driven multimodal information fusion frameworks and their application in lower limb motion recognition. Biomedical Signal Processing and Control, 96 (Part B). 106551. ISSN 1746-8094

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Item Type: Article
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© 2024 Elsevier Ltd. This is an author produced version of an article accepted for publication in Biomedical Signal Processing and Control. Uploaded in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.

Keywords: Multimodal information fusion; Lower limb motion recognition; Inter-subject prediction; Deep learning; Transfer learning
Dates:
  • Published: October 2024
  • Published (online): 12 June 2024
  • Accepted: 7 June 2024
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)
Funding Information:
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UKRI (UK Research and Innovation)
Not Known
Depositing User: Symplectic Publications
Date Deposited: 03 Jul 2024 12:52
Last Modified: 03 Jul 2024 12:52
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.bspc.2024.106551
Open Archives Initiative ID (OAI ID):

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Filename: Deep Learning-Driven Multimodal INformation Fusion Frameworks.pdf

Licence: CC-BY-NC-ND 4.0

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