Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Sung-Ho | ko |
dc.contributor.author | Kim, Kyungsoo | ko |
dc.contributor.author | Sim, Minkyung | ko |
dc.contributor.author | Shin, Kwonsik | ko |
dc.contributor.author | Lee, Doyoung | ko |
dc.contributor.author | Park, Jiho | ko |
dc.contributor.author | Jang, Jae Eun | ko |
dc.contributor.author | Choi, Ji-Woong | ko |
dc.date.accessioned | 2021-01-13T05:27:50Z | - |
dc.date.available | 2021-01-13T05:27:50Z | - |
dc.date.created | 2020-09-16 | - |
dc.date.issued | 2020-08 | - |
dc.identifier.citation | IEEE/ASME Transactions on Mechatronics, v.25, no.4, pp.2134 - 2138 | - |
dc.identifier.issn | 1083-4435 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/12564 | - |
dc.description.abstract | Reducing the input data of tactile sensory systems brings a large degree of freedom to real-world implementations from the perspectives of bandwidth and computational complexity. For this, in this letter, we suggest efficient active-cell formations with a high classification accuracy of tactile materials. By revealing that averaged Kullback-Leibler-divergence and common frequency component power to variance ratio are proportional to the classification accuracy, we showed that those methods can be useful in estimating valid active-cell formations. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.title | Deep Neural Network Classification of Tactile Materials Explored by Tactile Sensor Array With Various Active-Cell Formations | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/TMECH.2020.3006702 | - |
dc.identifier.wosid | 000560671600047 | - |
dc.identifier.scopusid | 2-s2.0-85089876391 | - |
dc.type.local | Article(Overseas) | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.contributor.nonIdAuthor | Kim, Kyungsoo | - |
dc.identifier.citationVolume | 25 | - |
dc.identifier.citationNumber | 4 | - |
dc.identifier.citationStartPage | 2134 | - |
dc.identifier.citationEndPage | 2138 | - |
dc.identifier.citationTitle | IEEE/ASME Transactions on Mechatronics | - |
dc.type.journalArticle | Article | - |
dc.description.isOpenAccess | N | - |
dc.subject.keywordAuthor | Neural network applications | - |
dc.subject.keywordAuthor | pattern classification | - |
dc.subject.keywordAuthor | piezoelectric devices | - |
dc.subject.keywordAuthor | tactile sensors | - |
dc.subject.keywordAuthor | tactile system | - |
dc.contributor.affiliatedAuthor | Jang, Jae Eun | - |
dc.contributor.affiliatedAuthor | Choi, Ji-Woong | - |
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