A Behavior-Learned Cross-Reactive Sensor Matrix for Intelligent Skin Perception

© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Bibliographische Detailangaben
Veröffentlicht in:Advanced materials (Deerfield Beach, Fla.). - 1998. - 32(2020), 22 vom: 13. Juni, Seite e2000969
1. Verfasser: Lee, Jun Ho (VerfasserIn)
Weitere Verfasser: Heo, Jae Sang, Kim, Yoon-Jeong, Eom, Jimi, Jung, Hong Jun, Kim, Jong-Woong, Kim, Insoo, Park, Ho-Hyun, Mo, Hyun Sun, Kim, Yong-Hoon, Park, Sung Kyu
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2020
Zugriff auf das übergeordnete Werk:Advanced materials (Deerfield Beach, Fla.)
Schlagworte:Journal Article cross-reactive sensor matrixes electronic skin machine-learning sensors tactile sensor arrays Coated Materials, Biocompatible Polyurethanes Silver 3M4G523W1G
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500 |a Date Completed 02.03.2021 
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500 |a Citation Status MEDLINE 
520 |a © 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. 
520 |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 
650 4 |a Journal Article 
650 4 |a cross-reactive sensor matrixes 
650 4 |a electronic skin 
650 4 |a machine-learning sensors 
650 4 |a tactile sensor arrays 
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650 7 |a Polyurethanes  |2 NLM 
650 7 |a Silver  |2 NLM 
650 7 |a 3M4G523W1G  |2 NLM 
700 1 |a Heo, Jae Sang  |e verfasserin  |4 aut 
700 1 |a Kim, Yoon-Jeong  |e verfasserin  |4 aut 
700 1 |a Eom, Jimi  |e verfasserin  |4 aut 
700 1 |a Jung, Hong Jun  |e verfasserin  |4 aut 
700 1 |a Kim, Jong-Woong  |e verfasserin  |4 aut 
700 1 |a Kim, Insoo  |e verfasserin  |4 aut 
700 1 |a Park, Ho-Hyun  |e verfasserin  |4 aut 
700 1 |a Mo, Hyun Sun  |e verfasserin  |4 aut 
700 1 |a Kim, Yong-Hoon  |e verfasserin  |4 aut 
700 1 |a Park, Sung Kyu  |e verfasserin  |4 aut 
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773 1 8 |g volume:32  |g year:2020  |g number:22  |g day:13  |g month:06  |g pages:e2000969 
856 4 0 |u http://dx.doi.org/10.1002/adma.202000969  |3 Volltext 
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