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http://dx.doi.org/10.17702/jai.2020.21.4.162

Recent Research Trend in Skin-Inspired Soft Sensors with Multimodality  

Lee, Seung Goo (Department of Chemistry, University of Ulsan)
Choi, Kyung Ho (Research Institute of Clean Manufacturing System, Korea Institute of Industrial Technology)
Shin, Gyo Jic (Research Institute of Clean Manufacturing System, Korea Institute of Industrial Technology)
Lee, Hyo Sun (Research Institute of Clean Manufacturing System, Korea Institute of Industrial Technology)
Bae, Geun Yeol (Research Institute of Clean Manufacturing System, Korea Institute of Industrial Technology)
Publication Information
Journal of Adhesion and Interface / v.21, no.4, 2020 , pp. 162-167 More about this Journal
Abstract
The skin-inspired multimodal soft sensors have been developed through multidisciplinary approaches to mimic the sensing ability with high sensitivity and mechanical durability of human skin. For practical application, although the stimulus discriminability against a complex stimulus composed of various mechanical and thermal stimuli experienced in daily life is essential, it still shows a low level actually. In this paper, we first introduce the operating mechanisms and representative studies of the unimodal soft sensor, and then discuss the recent research trend in the multimodal soft sensors and the stimulus discriminability.
Keywords
skin-inspired sensor; soft sensor; multimodal sensor; stimulus discriminability; electronic skin;
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