Fingerpad‐Inspired Multimodal Electronic Skin for Material Discrimination and Texture Recognition-Reference-Cited by-同舟云学术

Fingerpad‐Inspired Multimodal Electronic Skin for Material Discrimination and Texture Recognition

Published:2021-02-08 Issue:9 Volume:8 Page:2002606
ISSN:2198-3844
Container-title:Advanced Science
language:en
Short-container-title:Adv. Sci.

Author:

Lee Giwon¹,Son Jong Hyun¹,Lee Siyoung¹,Kim Seong Won¹,Kim Daegun¹,Nguyen Nguyen Ngan¹,Lee Seung Goo²,Cho Kilwon¹^ORCID

Affiliation:

1. Department of Chemical Engineering Pohang University of Science and Technology Pohang 37673 Korea

2. Department of Chemistry University of Ulsan Ulsan 44 610 Korea

Funder

National Research Foundation of Korea

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,Biochemistry, Genetics and Molecular Biology (miscellaneous),General Materials Science,General Chemical Engineering,Medicine (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/advs.202002606

Reference46 articles.

1. Molecular mechanisms of mechanotransduction in mammalian sensory neurons

2. Developing a sense of touch

3. Sensing skin acceleration for slip and texture perception;Howe R. D.,1989

4. Friction and deformation behaviour of human skin

5. Correlation between tactile perception and tribological and dynamical properties for human finger under different sliding speeds

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