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Active Whisker-Inspired Food Material Surface Property Measurement Using Deep-Learned Mechanosensoroa mark
  • Park, Jieun ;
  • Kim, Minho ;
  • Park, Jinhyung ;
  • Hong, Myungrae ;
  • Im, Sunghoon ;
  • Choi, Damin ;
  • Kim, Eunyoung ;
  • Gong, Dohyeon ;
  • Huh, Seokhaeng ;
  • Jo, Seung Un ;
  • Kim, Chang Hwan ;
  • Koh, Je Sung ;
  • Han, Seungyong ;
  • Kang, Daeshik
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dc.contributor.authorPark, Jieun-
dc.contributor.authorKim, Minho-
dc.contributor.authorPark, Jinhyung-
dc.contributor.authorHong, Myungrae-
dc.contributor.authorIm, Sunghoon-
dc.contributor.authorChoi, Damin-
dc.contributor.authorKim, Eunyoung-
dc.contributor.authorGong, Dohyeon-
dc.contributor.authorHuh, Seokhaeng-
dc.contributor.authorJo, Seung Un-
dc.contributor.authorKim, Chang Hwan-
dc.contributor.authorKoh, Je Sung-
dc.contributor.authorHan, Seungyong-
dc.contributor.authorKang, Daeshik-
dc.date.issued2024-01-01-
dc.identifier.issn2640-4567-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/33958-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85185128023&origin=inward-
dc.description.abstractRat whiskers are an exceptional sensing system, extracting information from their surrounding environment. Inspired by this concept, active whisker sensors measure various physical and geometric properties through contact with objects. However, previous research has focused on measuring the object geometry, often overlooking the potential for broader applications of the sensors. Herein, an active whisker sensor that enables simple measurement of the surface properties such as surface hardness and adhesiveness is reported. Composed of motor-, wire-, and crack-based mechanosensor, the active whisker sensor implements a tapping process inspired by the movement of a rat's whiskers to quickly evaluate the object surface. One area of potential application is the food industry. The active whisker sensors offer a new approach to measuring surface properties of viscoelastic and inelastic food that are difficult to measure with traditional bulky systems. Herein, it is validated that the tapping process can be used to measure the surface properties of a various foods. With the aid of machine learning algorithms, sensor can also recognize differences in the surface properties of bananas at different ripeness stages and classify them with 99% accuracy. In this report, the possibilities for applications of active whisker sensors, including food industry, robotics, and medical devices, are opened up.-
dc.description.sponsorshipJ.P., M.K., and J.P. equally contributed to this work. This research is performed based on the cooperation with the Defense Acquisition Program Administration's Critical Technology R&D program (grant no. UC190002D).-
dc.language.isoeng-
dc.publisherJohn Wiley and Sons Inc-
dc.subject.meshActive whisker sensor-
dc.subject.meshCrack-based mechanosensor-
dc.subject.meshFood industries-
dc.subject.meshFood materials-
dc.subject.meshMachine learning algorithms-
dc.subject.meshMechanosensors-
dc.subject.meshProperty measurement-
dc.subject.meshRat whiskers-
dc.subject.meshSurface property measurement-
dc.subject.meshTapping process-
dc.titleActive Whisker-Inspired Food Material Surface Property Measurement Using Deep-Learned Mechanosensor-
dc.typeArticle-
dc.citation.titleAdvanced Intelligent Systems-
dc.identifier.bibliographicCitationAdvanced Intelligent Systems-
dc.identifier.doi10.1002/aisy.202300660-
dc.identifier.scopusid2-s2.0-85185128023-
dc.identifier.urlhttps://onlinelibrary.wiley.com/journal/26404567-
dc.subject.keywordactive whisker sensors-
dc.subject.keywordcrack-based mechanosensors-
dc.subject.keywordfood materials-
dc.subject.keywordmachine learning algorithms-
dc.subject.keywordsurface property measurements-
dc.type.otherArticle-
dc.description.isoatrue-
dc.subject.subareaArtificial Intelligence-
dc.subject.subareaComputer Vision and Pattern Recognition-
dc.subject.subareaHuman-Computer Interaction-
dc.subject.subareaMechanical Engineering-
dc.subject.subareaControl and Systems Engineering-
dc.subject.subareaElectrical and Electronic Engineering-
dc.subject.subareaMaterials Science (miscellaneous)-
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