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231225s2020 xx |||||o 00| ||eng c |
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|a 10.1002/adma.202000969
|2 doi
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|a pubmed24n1029.xml
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|a (DE-627)NLM308950992
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|a (NLM)32310332
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Lee, Jun Ho
|e verfasserin
|4 aut
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|a A Behavior-Learned Cross-Reactive Sensor Matrix for Intelligent Skin Perception
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|c 2020
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 02.03.2021
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|a Date Revised 02.03.2021
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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|a Mimicking human skin sensation such as spontaneous multimodal perception and identification/discrimination of intermixed stimuli is severely hindered by the difficulty of efficient integration of complex cutaneous receptor-emulating circuitry and the lack of an appropriate protocol to discern the intermixed signals. Here, a highly stretchable cross-reactive sensor matrix is demonstrated, which can detect, classify, and discriminate various intermixed tactile and thermal stimuli using a machine-learning approach. Particularly, the multimodal perception ability is achieved by utilizing a learning algorithm based on the bag-of-words (BoW) model, where, by learning and recognizing the stimulus-dependent 2D output image patterns, the discrimination of each stimulus in various multimodal stimuli environments is possible. In addition, the single sensor device integrated in the cross-reactive sensor matrix exhibits multimodal detection of strain, flexion, pressure, and temperature. It is hoped that his proof-of-concept device with machine-learning-based approach will provide a versatile route to simplify the electronic skin systems with reduced architecture complexity and adaptability to various environments beyond the limitation of conventional "lock and key" approaches
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|a Journal Article
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|a cross-reactive sensor matrixes
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|a electronic skin
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|a machine-learning sensors
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|a tactile sensor arrays
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|a Coated Materials, Biocompatible
|2 NLM
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|a Polyurethanes
|2 NLM
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|a Silver
|2 NLM
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|a 3M4G523W1G
|2 NLM
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|a Heo, Jae Sang
|e verfasserin
|4 aut
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|a Kim, Yoon-Jeong
|e verfasserin
|4 aut
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|a Eom, Jimi
|e verfasserin
|4 aut
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|a Jung, Hong Jun
|e verfasserin
|4 aut
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|a Kim, Jong-Woong
|e verfasserin
|4 aut
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|a Kim, Insoo
|e verfasserin
|4 aut
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1 |
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|a Park, Ho-Hyun
|e verfasserin
|4 aut
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|a Mo, Hyun Sun
|e verfasserin
|4 aut
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|a Kim, Yong-Hoon
|e verfasserin
|4 aut
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|a Park, Sung Kyu
|e verfasserin
|4 aut
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|i Enthalten in
|t Advanced materials (Deerfield Beach, Fla.)
|d 1998
|g 32(2020), 22 vom: 13. Juni, Seite e2000969
|w (DE-627)NLM098206397
|x 1521-4095
|7 nnns
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|g volume:32
|g year:2020
|g number:22
|g day:13
|g month:06
|g pages:e2000969
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|u http://dx.doi.org/10.1002/adma.202000969
|3 Volltext
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