2017
DOI: 10.3390/s17112653
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Novel Tactile Sensor Technology and Smart Tactile Sensing Systems: A Review

Abstract: During the last decades, smart tactile sensing systems based on different sensing techniques have been developed due to their high potential in industry and biomedical engineering. However, smart tactile sensing technologies and systems are still in their infancy, as many technological and system issues remain unresolved and require strong interdisciplinary efforts to address them. This paper provides an overview of smart tactile sensing systems, with a focus on signal processing technologies used to interpret… Show more

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Cited by 232 publications
(133 citation statements)
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References 160 publications
(325 reference statements)
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“…Conductive materials need to be reasonably selected and designed to pursue the high‐sensing performance. Table summarizes the characteristics of the various types of structural materials for the tactile sensors, and a similar table is found in the article …”
Section: Artificial Sensitive Skins For Roboticsmentioning
confidence: 99%
“…Conductive materials need to be reasonably selected and designed to pursue the high‐sensing performance. Table summarizes the characteristics of the various types of structural materials for the tactile sensors, and a similar table is found in the article …”
Section: Artificial Sensitive Skins For Roboticsmentioning
confidence: 99%
“…Therefore, the mechanical rigidity of the composite structure is higher than the one for the copolymer and, under mechanical action repeated many times, the mechanical fatigue and damage of these materials decrease. This can be useful for some piezoelectric devices, in particular, for registering the rapid changes in pressure, for tactile sensing systems, 22 etc. According to our data, the polarization of the entire composite structure is slightly less than the one of the bulk copolymer films, since the oxide matrix is nonpolar.…”
Section: Resultsmentioning
confidence: 99%
“…Different works have addressed the tactile data classification problem, using different methods including, but not limited to, machine learning and deep learning [6][7][8][9][10]. While most of the work done was focused on the methodology itself, few works addressed the implementation on embedded platforms where the real application should reside.…”
Section: State-of-the-artmentioning
confidence: 99%