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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2015
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848783740236464128 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:26:09Z |
| format | Proceeding Paper |
| id | iium-50870 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:26:09Z |
| publishDate | 2015 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | Surface texture detection with artificial fingers |
| title_sort | surface texture detection with artificial fingers |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |