The Use of Kinematic Features in Evaluating Upper Limb Motor Function Learning Progress Based on Machine Learning

Dong, S. orcid.org/0000-0003-4782-5934, Gallagher, J. orcid.org/0000-0002-3341-175X, Jackson, A. et al. (1 more author) (2023) The Use of Kinematic Features in Evaluating Upper Limb Motor Function Learning Progress Based on Machine Learning. In: 2023 International Conference on Rehabilitation Robotics (ICORR). 2023 International Conference on Rehabilitation Robotics (ICORR), 24-28 Sep 2023, Singapore. Institute of Electrical and Electronics Engineers (IEEE)

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Metadata

Item Type: Proceedings Paper
Authors/Creators:
Keywords: Support vector machines, Tracking, Kinematics, Machine learning, Feature extraction, Robot sensing systems, Mice
Dates:
  • Published: 8 November 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds)
The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 07 Aug 2024 13:56
Last Modified: 07 Aug 2024 13:56
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: 10.1109/icorr58425.2023.10304807
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Open Archives Initiative ID (OAI ID):

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