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Texture Recognition Using Force Sensitive Resistors

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Towards Autonomous Robotic Systems (TAROS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9716))

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Abstract

This paper presents the results of an experiment that investigates 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 contains enough information to recognise at least one sample surface.

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Correspondence to Muhammad Sayed .

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© 2016 Springer International Publishing Switzerland

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Sayed, M., Garcia, J.C.D., Alboul, L. (2016). Texture Recognition Using Force Sensitive Resistors. In: Alboul, L., Damian, D., Aitken, J. (eds) Towards Autonomous Robotic Systems. TAROS 2016. Lecture Notes in Computer Science(), vol 9716. Springer, Cham. https://doi.org/10.1007/978-3-319-40379-3_30

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  • DOI: https://doi.org/10.1007/978-3-319-40379-3_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40378-6

  • Online ISBN: 978-3-319-40379-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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