Continuous Kalman Estimation Method for Finger Kinematics Tracking from Surface Electromyography
Journal article
Authors | Zhang, H., Peng, B., Tian, L., Samuel, O. and Li, G. |
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Abstract | Deciphering hand motion intention from surface electromyography (sEMG) encounters challenges posed by the requisites of multiple degrees of freedom (DOF) and adaptability. Unlike discrete action classification grounded in pattern recognition, the pursuit of continuous kinematics estimation is appreciated for its inherent naturalness and |
Keywords | Finger Kinematics Tracking; hand motion intervention ; surface electromyography (sEMG) encounters |
Year | 2024 |
Journal | Cyborg and Bionic Systems |
Journal citation | pp. 1-11 |
Publisher | American Association for the Advancement of Science |
ISSN | 2692-7632 |
Digital Object Identifier (DOI) | https://doi.org/10.34133/cbsystems.0094 |
Web address (URL) | https://spj.science.org/doi/10.34133/cbsystems.0094 |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 12 Jan 2024 |
Publication process dates | |
Deposited | 12 Feb 2024 |
https://repository.derby.ac.uk/item/q4952/continuous-kalman-estimation-method-for-finger-kinematics-tracking-from-surface-electromyography
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