Enhancing robustness and adaptability in motion intent recognition: a multimodal approach with advanced neural networks and meta-learning

Huang, Hongli (2025) Enhancing robustness and adaptability in motion intent recognition: a multimodal approach with advanced neural networks and meta-learning. PhD thesis, University of Glasgow.

Due to Embargo and/or Third Party Copyright restrictions, this thesis is not available in this service.

Abstract

Abstract not currently available.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Subjects: T Technology > T Technology (General)
Colleges/Schools: College of Science and Engineering > School of Engineering
Supervisor's Name: Vuckovic, Professor Aleksandra and Vellaisamy, Professor Roy
Date of Award: 2025
Embargo Date: 19 February 2028
Depositing User: Theses Team
Unique ID: glathesis:2025-84947
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 03 Mar 2025 15:51
Last Modified: 03 Mar 2025 15:52
Thesis DOI: 10.5525/gla.thesis.84947
URI: https://theses.gla.ac.uk/id/eprint/84947

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year