Texture recognition using force sensitive resistors

SAYED, Muhammad, DIAZ GARCIA,, Jose Carlos and ALBOUL, Lyuba (2016). Texture recognition using force sensitive resistors. In: ALBOUL, Lyuba, DAMIAN, Dana and AITKEN, Jonathan M., (eds.) Towards autonomous robotic systems, 17th Annual Conference, TAROS 2016, Sheffield, UK, June 26--July 1, 2016, Proceedings. Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence (9716). Springer International Publishing, 288-294.

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Official URL: http://www.springer.com/gb/book/9783319403786
Link to published version:: https://doi.org/10.1007/978-3-319-40379-3_30


This paper presents the results of an experiment that inves- tigates the presence of cues in the signal generated by a low-cost force sensitive resistor (FSR) to recognise surface texture. The sensor is moved across the surface and the data is analysed to investigate the presence of any patterns. We show that the signal contain enough information to recognise at least one sample surface.

Item Type: Book Section
Additional Information: Series ISSN : 0302-9743.
Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Identification Number: https://doi.org/10.1007/978-3-319-40379-3_30
Page Range: 288-294
Depositing User: Lyuba Alboul
Date Deposited: 20 Sep 2016 13:53
Last Modified: 18 Mar 2021 06:19
URI: https://shura.shu.ac.uk/id/eprint/13128

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