Improved Transfer Learning for Detecting Upper-Limb Movement Intention Using Mechanical Sensors in an Exoskeletal Rehabilitation System
The objective of this study was to propose a novel strategy for detecting upper-limb motion intentions from mechanical sensor signals using deep and heterogeneous transfer learning techniques. Three sensor types, surface electromyography (sEMG), force-sensitive resistors (FSRs), and inertial measure...
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| Main Authors: | , , , |
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| Format: | Book |
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IEEE,
2024-01-01T00:00:00Z.
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A1234.567 |
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| Copy 1 | Available |