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Sensing texture using an artificial finger and a data analysis based on the standard deviation

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

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Abstract

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.

Item Type: Article (Journal)
Additional Information: 4161/50757
Uncontrolled Keywords: Algorithms; Automation; Signal detection; Statistics
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Mrs. Wan Salwati Wan Salleh
Date Deposited: 23 May 2016 10:20
Last Modified: 05 Dec 2016 11:32
URI: http://irep.iium.edu.my/id/eprint/50757

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