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.

[img]
Preview
PDF
TAROS_2016_paper_26.pdf - Accepted Version
Available under License All rights reserved.

Download (907kB) | Preview
[img]
Preview
PDF
Alboul - 13128.pdf

Download (98kB) | Preview
Official URL: http://www.springer.com/gb/book/9783319403786
Link to published version:: 10.1007/978-3-319-40379-3_30

Abstract

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: Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Mobile Machine and Vision Laboratory
Identification Number: 10.1007/978-3-319-40379-3_30
Depositing User: Lyuba Alboul
Date Deposited: 20 Sep 2016 13:53
Last Modified: 08 Dec 2016 17:15
URI: http://shura.shu.ac.uk/id/eprint/13128

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics