Improved transfer learning for detecting upper-limb movement intention using mechanical sensors in an exoskeletal rehabilitation system

Improved transfer learning for detecting upper-limb movement intention using mechanical sensors in an exoskeletal rehabilitation system 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract:

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 measurement units (IMUs), were combined to capture biometric signals during arm-up, hold, …

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