Sensing texture using an artificial finger and a data analysis based on the standard deviation
The results from experiments with a screen-printed piezoelectric sensor, mounted on an artificial finger-tip and including a cosmetic covering, are shown to detect surface information from regular texture patterns. For the automatic control of an artificial hand and to feedback information to the am...
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The Institution of Engineering & Technology (IET)
2015
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| Online Access: | http://irep.iium.edu.my/50757/ http://irep.iium.edu.my/50757/ http://irep.iium.edu.my/50757/ http://irep.iium.edu.my/50757/1/50757_Sensing_texture_using_an_artificial_finger_and_a_data_analysis.pdf http://irep.iium.edu.my/50757/2/50757_Sensing_texture_using_an_artificial_finger_and_a_data_analysis_SCOPUS.pdf |
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iium-507572016-12-05T03:32:40Z http://irep.iium.edu.my/50757/ Sensing texture using an artificial finger and a data analysis based on the standard deviation Chappell, Paul H. Muridan, Norasmahan Mohamad Hanif, Nik Hazrin Cranny, Andy White, Neil M. TK Electrical engineering. Electronics Nuclear engineering The results from experiments with a screen-printed piezoelectric sensor, mounted on an artificial finger-tip and including a cosmetic covering, are shown to detect surface information from regular texture patterns. For the automatic control of an artificial hand and to feedback information to the amputee, an algorithm has been developed based on the standard deviation (SD) of signal data from the sensor. The SD analysis for texture detection is novel as it uses a combination of arithmetic processes. It windows the data sequentially and calculates the SD of the data in the windows and then averages the SDs. The output from the algorithm is the frequency spectrum of a signal. Plots, from the output of the algorithm, show events that correspond to the cyclic waveforms produced from the regularity of object surface patterns. The results from the algorithm are confirmed with an analysis of the signals using fast Fourier transforms. The Institution of Engineering & Technology (IET) 2015 Article PeerReviewed application/pdf en http://irep.iium.edu.my/50757/1/50757_Sensing_texture_using_an_artificial_finger_and_a_data_analysis.pdf application/pdf en http://irep.iium.edu.my/50757/2/50757_Sensing_texture_using_an_artificial_finger_and_a_data_analysis_SCOPUS.pdf Chappell, Paul H. and Muridan, Norasmahan and Mohamad Hanif, Nik Hazrin and Cranny, Andy and White, Neil M. (2015) Sensing texture using an artificial finger and a data analysis based on the standard deviation. IET Science, Measurement & Technology, 9 (8). pp. 998-1006. ISSN 1751-8822 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7331773 10.1049/iet-smt.2015.0003 |
| 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 Chappell, Paul H. Muridan, Norasmahan Mohamad Hanif, Nik Hazrin Cranny, Andy White, Neil M. Sensing texture using an artificial finger and a data analysis based on the standard deviation |
| description |
The results from experiments with a screen-printed piezoelectric sensor, mounted on an artificial finger-tip and including a cosmetic covering, are shown to detect surface information from regular texture patterns. For the automatic control of an artificial hand and to feedback information to the amputee, an algorithm has been developed based on the standard deviation (SD) of signal data from the sensor. The SD analysis for texture detection is novel as it uses a combination of arithmetic processes. It windows the data sequentially and calculates the SD of the data in the windows and then averages the SDs. The output from the algorithm is the frequency spectrum of a signal. Plots, from the output of the algorithm, show events that correspond to the cyclic waveforms produced from the regularity of object surface patterns. The results from the algorithm are confirmed with an analysis of the signals using fast Fourier transforms. |
| format |
Article |
| author |
Chappell, Paul H. Muridan, Norasmahan Mohamad Hanif, Nik Hazrin Cranny, Andy White, Neil M. |
| author_facet |
Chappell, Paul H. Muridan, Norasmahan Mohamad Hanif, Nik Hazrin Cranny, Andy White, Neil M. |
| author_sort |
Chappell, Paul H. |
| title |
Sensing texture using an artificial finger and a data analysis based on the standard deviation |
| title_short |
Sensing texture using an artificial finger and a data analysis based on the standard deviation |
| title_full |
Sensing texture using an artificial finger and a data analysis based on the standard deviation |
| title_fullStr |
Sensing texture using an artificial finger and a data analysis based on the standard deviation |
| title_full_unstemmed |
Sensing texture using an artificial finger and a data analysis based on the standard deviation |
| title_sort |
sensing texture using an artificial finger and a data analysis based on the standard deviation |
| publisher |
The Institution of Engineering & Technology (IET) |
| publishDate |
2015 |
| url |
http://irep.iium.edu.my/50757/ http://irep.iium.edu.my/50757/ http://irep.iium.edu.my/50757/ http://irep.iium.edu.my/50757/1/50757_Sensing_texture_using_an_artificial_finger_and_a_data_analysis.pdf http://irep.iium.edu.my/50757/2/50757_Sensing_texture_using_an_artificial_finger_and_a_data_analysis_SCOPUS.pdf |
| first_indexed |
2023-09-18T21:11:48Z |
| last_indexed |
2023-09-18T21:11:48Z |
| _version_ |
1777411302184976384 |