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...

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Main Authors: Mohamad Hanif, N. Hazrin H, Chappell, Paul H., Cranny, Andy, White, Neil M.
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2015
Subjects:
Online Access:http://irep.iium.edu.my/50870/
http://irep.iium.edu.my/50870/
http://irep.iium.edu.my/50870/
http://irep.iium.edu.my/50870/4/50870.pdf
http://irep.iium.edu.my/50870/5/50870-Surface_texture_detection_with_artificial_fingers-SCOPUS.pdf
id iium-50870
recordtype eprints
spelling iium-508702016-12-03T03:26:13Z http://irep.iium.edu.my/50870/ Surface texture detection with artificial fingers Mohamad Hanif, N. Hazrin H Chappell, Paul H. Cranny, Andy White, Neil M. TK Electrical engineering. Electronics Nuclear engineering 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. IEEE 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/50870/4/50870.pdf application/pdf en http://irep.iium.edu.my/50870/5/50870-Surface_texture_detection_with_artificial_fingers-SCOPUS.pdf Mohamad Hanif, N. Hazrin H and Chappell, Paul H. and Cranny, Andy and White, Neil M. (2015) Surface texture detection with artificial fingers. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 25th-29th August 2015, Milan, Italy. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7320253&filter%3DAND%28p_IS_Number%3A7318236%29%26pageNumber%3D20%26rowsPerPage%3D100 10.1109/EMBC.2015.7320253
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohamad Hanif, N. Hazrin H
Chappell, Paul H.
Cranny, Andy
White, Neil M.
Surface texture detection with artificial fingers
description 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.
format Conference or Workshop Item
author Mohamad Hanif, N. Hazrin H
Chappell, Paul H.
Cranny, Andy
White, Neil M.
author_facet Mohamad Hanif, N. Hazrin H
Chappell, Paul H.
Cranny, Andy
White, Neil M.
author_sort Mohamad Hanif, N. Hazrin H
title Surface texture detection with artificial fingers
title_short Surface texture detection with artificial fingers
title_full Surface texture detection with artificial fingers
title_fullStr Surface texture detection with artificial fingers
title_full_unstemmed Surface texture detection with artificial fingers
title_sort surface texture detection with artificial fingers
publisher IEEE
publishDate 2015
url http://irep.iium.edu.my/50870/
http://irep.iium.edu.my/50870/
http://irep.iium.edu.my/50870/
http://irep.iium.edu.my/50870/4/50870.pdf
http://irep.iium.edu.my/50870/5/50870-Surface_texture_detection_with_artificial_fingers-SCOPUS.pdf
first_indexed 2023-09-18T21:11:59Z
last_indexed 2023-09-18T21:11:59Z
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