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Experimental validation of a contactless finger displacement measurement system using electrical near field sensing

Experimental validation of a contactless finger displacement measurement system using electrical near field sensing
Experimental validation of a contactless finger displacement measurement system using electrical near field sensing
— This research investigates the potential of contactless finger motion measurement, focusing particularly on ease of use to improve the success of home-based hand rehabilitation exercises. Previously, a mathematical model was developed based on a finite element method (FEM) simulation. This paper validates this model on multi-finger noncontact measuring under laboratory conditions. Twenty-three healthy subjects with normal hand and finger functions participated. An independent near field distance measurement was developed and compared to the output from an optical sensor. It was observed from the experiment that the prediction model worked well with the measuring system reported here. The average uncertainties of measurement using the prediction model are 0.68mm and 0.55mm, which are 3.5% and 2.7% of the full-scale range, for index finger and middle finger respectively. The results from the experiment show that, the reported system is capable of measuring the small movements of fingers. With the combination of the noncontact measuring feature and the lack of complicated set-up, this system is easy-to-use as the basis of a home-based independent rehabilitation system.
0018-9456
Harris, Nicholas
237cfdbd-86e4-4025-869c-c85136f14dfd
Hu, Nan
580a7979-65b9-42e3-895d-27604338e836
Chappell, Paul
2d2ec52b-e5d0-4c36-ac20-0a86589a880e
Harris, Nicholas
237cfdbd-86e4-4025-869c-c85136f14dfd
Hu, Nan
580a7979-65b9-42e3-895d-27604338e836
Chappell, Paul
2d2ec52b-e5d0-4c36-ac20-0a86589a880e

Harris, Nicholas, Hu, Nan and Chappell, Paul (2020) Experimental validation of a contactless finger displacement measurement system using electrical near field sensing. IEEE Transactions on Instrumentation and Measurement. (In Press)

Record type: Article

Abstract

— This research investigates the potential of contactless finger motion measurement, focusing particularly on ease of use to improve the success of home-based hand rehabilitation exercises. Previously, a mathematical model was developed based on a finite element method (FEM) simulation. This paper validates this model on multi-finger noncontact measuring under laboratory conditions. Twenty-three healthy subjects with normal hand and finger functions participated. An independent near field distance measurement was developed and compared to the output from an optical sensor. It was observed from the experiment that the prediction model worked well with the measuring system reported here. The average uncertainties of measurement using the prediction model are 0.68mm and 0.55mm, which are 3.5% and 2.7% of the full-scale range, for index finger and middle finger respectively. The results from the experiment show that, the reported system is capable of measuring the small movements of fingers. With the combination of the noncontact measuring feature and the lack of complicated set-up, this system is easy-to-use as the basis of a home-based independent rehabilitation system.

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Accepted/In Press date: 25 June 2020

Identifiers

Local EPrints ID: 442165
URI: http://eprints.soton.ac.uk/id/eprint/442165
ISSN: 0018-9456
PURE UUID: 216d79ef-eeb2-471f-b5a7-782a535cee0e
ORCID for Nicholas Harris: ORCID iD orcid.org/0000-0003-4122-2219
ORCID for Nan Hu: ORCID iD orcid.org/0000-0002-8436-3575

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Date deposited: 08 Jul 2020 16:30
Last modified: 09 Oct 2020 04:02

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