A Hammerstein model of the hand for precise control of electrode arrays
A Hammerstein model of the hand for precise control of electrode arrays
Stroke is a leading cause of disability worldwide, and current interventions are falling short, particularly regarding fine motor movement. Assistive technologies such as functional electrical stimulation offer a promising solution, but require effective control design. Difficulties in obtaining large quantities of data motivate model-based control, however there currently exist no models of the hand suitable for control design. This paper addresses this by deriving a novel Hammerstein model of the hand and wrist. This is validated on experimental data, resulting in 13% error reduction compared to existing models, with far less computational load. The proposed model is suitable for a wide range of control frameworks, facilitating transparent design, constraint handling, and robustness analysis.
Functional Electrical Stimulation, Rehabilitation, Model Identification
Hodgins, Lucy
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Freeman, Chris
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Belkhatir, Zehor
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Hodgins, Lucy
2cb70295-f4b0-4c0d-ba23-43fc531b9392
Freeman, Chris
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Belkhatir, Zehor
de90d742-a58f-4425-837c-20ff960fb9b6
Hodgins, Lucy, Freeman, Chris and Belkhatir, Zehor
(2026)
A Hammerstein model of the hand for precise control of electrode arrays.
23rd IFAC World Congress, , Busan, Korea, Democratic People's Republic of.
23 - 28 Aug 2026.
6 pp
.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
Stroke is a leading cause of disability worldwide, and current interventions are falling short, particularly regarding fine motor movement. Assistive technologies such as functional electrical stimulation offer a promising solution, but require effective control design. Difficulties in obtaining large quantities of data motivate model-based control, however there currently exist no models of the hand suitable for control design. This paper addresses this by deriving a novel Hammerstein model of the hand and wrist. This is validated on experimental data, resulting in 13% error reduction compared to existing models, with far less computational load. The proposed model is suitable for a wide range of control frameworks, facilitating transparent design, constraint handling, and robustness analysis.
Text
IFAC2026_final_submission
- Accepted Manuscript
More information
Accepted/In Press date: 2026
Venue - Dates:
23rd IFAC World Congress, , Busan, Korea, Democratic People's Republic of, 2026-08-23 - 2026-08-28
Keywords:
Functional Electrical Stimulation, Rehabilitation, Model Identification
Identifiers
Local EPrints ID: 511097
URI: http://eprints.soton.ac.uk/id/eprint/511097
PURE UUID: 6f8a9911-3d9b-42f6-a832-17a0e061491d
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Date deposited: 01 May 2026 16:45
Last modified: 02 May 2026 02:15
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Contributors
Author:
Lucy Hodgins
Author:
Chris Freeman
Author:
Zehor Belkhatir
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