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Surface texture detection with artificial fingers

Surface texture detection with artificial fingers
Surface texture detection with artificial fingers
This paper highlights the potential of using prosthetic devices to sense surface textures; an important characteristic of a lower arm that is often neglected. An artificial finger equipped with a piezoelectric sensor, mounted on a fingertip, has been designed to detect surface textures of different dimensions. Signal frequencies generated during the exploratory movement of the artificial finger reliably correlate to all the widths of grooves and ridges of the surface textures under investigation. This capability provides a positive outlook in recreating a touch sensation that has been previously lost from natural fingers and palms.
Mohamad Hanif, Noor
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Chappell, Paul
2d2ec52b-e5d0-4c36-ac20-0a86589a880e
Cranny, Andy
2ebc2ccb-7d3e-4a6a-91ac-9f089741939e
White, Neil
c7be4c26-e419-4e5c-9420-09fc02e2ac9c
Mohamad Hanif, Noor
bac9233d-8e9f-4b10-8abb-28ab8ffcd948
Chappell, Paul
2d2ec52b-e5d0-4c36-ac20-0a86589a880e
Cranny, Andy
2ebc2ccb-7d3e-4a6a-91ac-9f089741939e
White, Neil
c7be4c26-e419-4e5c-9420-09fc02e2ac9c

Mohamad Hanif, Noor, Chappell, Paul, Cranny, Andy and White, Neil (2015) Surface texture detection with artificial fingers. 2015 37th Annual International Conference of the IEEE Engineering in Midecine and Biology Society (EMBC), Italy. 25 - 29 Aug 2015. 4 pp . (doi:10.1109/EMBC.2015.7320253).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper highlights the potential of using prosthetic devices to sense surface textures; an important characteristic of a lower arm that is often neglected. An artificial finger equipped with a piezoelectric sensor, mounted on a fingertip, has been designed to detect surface textures of different dimensions. Signal frequencies generated during the exploratory movement of the artificial finger reliably correlate to all the widths of grooves and ridges of the surface textures under investigation. This capability provides a positive outlook in recreating a touch sensation that has been previously lost from natural fingers and palms.

Text
Mohamad Hanif Milano 2015 220408 Surface Texture Detection with Artificial Fingers pre conference.pdf - Author's Original
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More information

e-pub ahead of print date: 25 August 2015
Published date: 5 November 2015
Venue - Dates: 2015 37th Annual International Conference of the IEEE Engineering in Midecine and Biology Society (EMBC), Italy, 2015-08-25 - 2015-08-29
Organisations: EEE

Identifiers

Local EPrints ID: 405014
URI: http://eprints.soton.ac.uk/id/eprint/405014
PURE UUID: 3bccd78c-27e7-441a-8e25-b8bd35c0ae06
ORCID for Neil White: ORCID iD orcid.org/0000-0003-1532-6452

Catalogue record

Date deposited: 26 Jan 2017 09:23
Last modified: 15 Oct 2019 00:56

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