Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385627502> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4385627502 endingPage "4" @default.
- W4385627502 startingPage "1" @default.
- W4385627502 abstract "Tactile data are essential in object perception. Based on such data, various objects can be recognized and differentiated. The fluid-type tactile sensor employs a colored fluid captured between an elastic skin and a transparent plate where the color intensity of the fluid observed by a camera is directly related to the deformation of the skin. In this letter, the fluid-type sensor is restructured by employing an optimization method that is sensitive to skin deformation. Moreover, the implementation of nonopaque skin is proposed to reveal surface color features in addition to the shape of the object in tactile images. A convolutional neural network (CNN), a neural network based on transfer learning and dropout layer was implemented to classify objects based on their tactile images, which is a combination of shape of the objects and their surface color features. Although the number of training samples is small, an accuracy of 94.2% is achieved. The proposed sensor is 3-D printable and can be fabricated at a low cost." @default.
- W4385627502 created "2023-08-08" @default.
- W4385627502 creator A5056143853 @default.
- W4385627502 creator A5081831181 @default.
- W4385627502 date "2023-09-01" @default.
- W4385627502 modified "2023-09-24" @default.
- W4385627502 title "Tactile Object Recognition Using Fluid-Type Sensor and Deep Learning" @default.
- W4385627502 cites W2000779431 @default.
- W4385627502 cites W2042242463 @default.
- W4385627502 cites W2046565838 @default.
- W4385627502 cites W2734458977 @default.
- W4385627502 cites W2767644386 @default.
- W4385627502 cites W2771406164 @default.
- W4385627502 cites W2774992919 @default.
- W4385627502 cites W2775635818 @default.
- W4385627502 cites W2781493652 @default.
- W4385627502 cites W2903932337 @default.
- W4385627502 cites W2940682483 @default.
- W4385627502 cites W2963263790 @default.
- W4385627502 cites W2969180157 @default.
- W4385627502 cites W2972394921 @default.
- W4385627502 cites W2994492048 @default.
- W4385627502 cites W3091749147 @default.
- W4385627502 cites W3092022274 @default.
- W4385627502 cites W3196588585 @default.
- W4385627502 doi "https://doi.org/10.1109/lsens.2023.3303077" @default.
- W4385627502 hasPublicationYear "2023" @default.
- W4385627502 type Work @default.
- W4385627502 citedByCount "0" @default.
- W4385627502 crossrefType "journal-article" @default.
- W4385627502 hasAuthorship W4385627502A5056143853 @default.
- W4385627502 hasAuthorship W4385627502A5081831181 @default.
- W4385627502 hasBestOaLocation W43856275022 @default.
- W4385627502 hasConcept C108583219 @default.
- W4385627502 hasConcept C119857082 @default.
- W4385627502 hasConcept C153180895 @default.
- W4385627502 hasConcept C154945302 @default.
- W4385627502 hasConcept C159985019 @default.
- W4385627502 hasConcept C192562407 @default.
- W4385627502 hasConcept C204366326 @default.
- W4385627502 hasConcept C2776145597 @default.
- W4385627502 hasConcept C2781238097 @default.
- W4385627502 hasConcept C3019497199 @default.
- W4385627502 hasConcept C31972630 @default.
- W4385627502 hasConcept C41008148 @default.
- W4385627502 hasConcept C46722567 @default.
- W4385627502 hasConcept C81363708 @default.
- W4385627502 hasConcept C90509273 @default.
- W4385627502 hasConceptScore W4385627502C108583219 @default.
- W4385627502 hasConceptScore W4385627502C119857082 @default.
- W4385627502 hasConceptScore W4385627502C153180895 @default.
- W4385627502 hasConceptScore W4385627502C154945302 @default.
- W4385627502 hasConceptScore W4385627502C159985019 @default.
- W4385627502 hasConceptScore W4385627502C192562407 @default.
- W4385627502 hasConceptScore W4385627502C204366326 @default.
- W4385627502 hasConceptScore W4385627502C2776145597 @default.
- W4385627502 hasConceptScore W4385627502C2781238097 @default.
- W4385627502 hasConceptScore W4385627502C3019497199 @default.
- W4385627502 hasConceptScore W4385627502C31972630 @default.
- W4385627502 hasConceptScore W4385627502C41008148 @default.
- W4385627502 hasConceptScore W4385627502C46722567 @default.
- W4385627502 hasConceptScore W4385627502C81363708 @default.
- W4385627502 hasConceptScore W4385627502C90509273 @default.
- W4385627502 hasIssue "9" @default.
- W4385627502 hasLocation W43856275021 @default.
- W4385627502 hasLocation W43856275022 @default.
- W4385627502 hasLocation W43856275023 @default.
- W4385627502 hasOpenAccess W4385627502 @default.
- W4385627502 hasPrimaryLocation W43856275021 @default.
- W4385627502 hasRelatedWork W2574146284 @default.
- W4385627502 hasRelatedWork W2731899572 @default.
- W4385627502 hasRelatedWork W2975200075 @default.
- W4385627502 hasRelatedWork W2999805992 @default.
- W4385627502 hasRelatedWork W3116150086 @default.
- W4385627502 hasRelatedWork W3133861977 @default.
- W4385627502 hasRelatedWork W4200173597 @default.
- W4385627502 hasRelatedWork W4291897433 @default.
- W4385627502 hasRelatedWork W4312417841 @default.
- W4385627502 hasRelatedWork W4321369474 @default.
- W4385627502 hasVolume "7" @default.
- W4385627502 isParatext "false" @default.
- W4385627502 isRetracted "false" @default.
- W4385627502 workType "article" @default.