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Tactile to vibrotactile sensory feedback interface for prosthetic hand users

Tactile to vibrotactile sensory feedback interface for prosthetic hand users
Tactile to vibrotactile sensory feedback interface for prosthetic hand users
The motivation of this research work is to provide a sense of embodiment to prosthetic users by supplementing their devices with sensory feedback to the residual upper arm. This sensory feedback replicates the tactile sensory system of glabrous skin that covers palm and flexor surfaces of fingers. In this work, we produced vibration patterns that will be perceived at the upper arm, according to signals obtained by a prosthetic finger when sliding across fabricated textured surfaces. This was done by transforming the signals to ‘on’ and ‘off’ pulses in the LabView environment and then forwarded to a data acquisition board to provide voltage signals to a vibration actuator. We implemented a novel frequency measurement procedure to maintain a vibration frequency of 250 Hz, which is the optimum frequency of the mechanoreceptors underneath the skin of the upper arm in detecting vibration. The outcome from this research work leads to optimistic possibility that a touch sensation that was previously lost could be restored to different parts of the body. This undoubtedly will increase users’ acceptance of the device as a part of their body due to its ‘lifelike’ quality.
326 - 330
IEEE
Mohamad Hanif, Noor
bac9233d-8e9f-4b10-8abb-28ab8ffcd948
Chappell, Paul
2d2ec52b-e5d0-4c36-ac20-0a86589a880e
White, Neil
c7be4c26-e419-4e5c-9420-09fc02e2ac9c
Cranny, Andy
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Nik Hashim, N.N.
dbc098ce-745a-46a3-b547-1e6351cb61ba
Mohamad Hanif, Noor
bac9233d-8e9f-4b10-8abb-28ab8ffcd948
Chappell, Paul
2d2ec52b-e5d0-4c36-ac20-0a86589a880e
White, Neil
c7be4c26-e419-4e5c-9420-09fc02e2ac9c
Cranny, Andy
2ebc2ccb-7d3e-4a6a-91ac-9f089741939e
Nik Hashim, N.N.
dbc098ce-745a-46a3-b547-1e6351cb61ba

Mohamad Hanif, Noor, Chappell, Paul, White, Neil, Cranny, Andy and Nik Hashim, N.N. (2017) Tactile to vibrotactile sensory feedback interface for prosthetic hand users. In 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences : (IECBES 2016). IEEE. 326 - 330 . (doi:10.1109/IECBES.2016.7843467).

Record type: Conference or Workshop Item (Paper)

Abstract

The motivation of this research work is to provide a sense of embodiment to prosthetic users by supplementing their devices with sensory feedback to the residual upper arm. This sensory feedback replicates the tactile sensory system of glabrous skin that covers palm and flexor surfaces of fingers. In this work, we produced vibration patterns that will be perceived at the upper arm, according to signals obtained by a prosthetic finger when sliding across fabricated textured surfaces. This was done by transforming the signals to ‘on’ and ‘off’ pulses in the LabView environment and then forwarded to a data acquisition board to provide voltage signals to a vibration actuator. We implemented a novel frequency measurement procedure to maintain a vibration frequency of 250 Hz, which is the optimum frequency of the mechanoreceptors underneath the skin of the upper arm in detecting vibration. The outcome from this research work leads to optimistic possibility that a touch sensation that was previously lost could be restored to different parts of the body. This undoubtedly will increase users’ acceptance of the device as a part of their body due to its ‘lifelike’ quality.

Text
Mohamad Hanif 37 IEEE EMBS 2016 S17-4.pdf - Accepted Manuscript
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More information

Accepted/In Press date: 30 September 2016
e-pub ahead of print date: 6 February 2017
Venue - Dates: 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), Malaysia, 2016-12-04 - 2016-12-08
Organisations: EEE

Identifiers

Local EPrints ID: 405015
URI: http://eprints.soton.ac.uk/id/eprint/405015
PURE UUID: 0ea69349-202b-4705-aade-8fe7bfe046df
ORCID for Neil White: ORCID iD orcid.org/0000-0003-1532-6452

Catalogue record

Date deposited: 26 Jan 2017 09:29
Last modified: 10 Dec 2019 01:57

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Contributors

Author: Noor Mohamad Hanif
Author: Paul Chappell
Author: Neil White ORCID iD
Author: Andy Cranny
Author: N.N. Nik Hashim

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