DC Field | Value | Language |
---|---|---|
dc.contributor.author | Song, Kyu-Seob | ko |
dc.contributor.author | Lim, Jong Gwan | ko |
dc.contributor.author | Lee, Dong-Guw | ko |
dc.contributor.author | Kwon, Dong-Soo | ko |
dc.date.accessioned | 2023-10-30T06:01:59Z | - |
dc.date.available | 2023-10-30T06:01:59Z | - |
dc.date.created | 2023-10-30 | - |
dc.date.created | 2023-10-30 | - |
dc.date.issued | 2023-10 | - |
dc.identifier.citation | IEEE SENSORS LETTERS, v.7, no.10 | - |
dc.identifier.issn | 2475-1472 | - |
dc.identifier.uri | http://hdl.handle.net/10203/313902 | - |
dc.description.abstract | This letter proposes a monitoring system to prevent falls from height accidents at construction sites. In our previous work, a method was proposed for recognizing the fastening state of the safety hook based on the motion similarity between two inertial measurement unit sensors, but its performance was limited to 90.64% Youden's Index (YI). This study introduces a safety hook monitoring system that achieves better performances by utilizing a deep Siamese neural network-based model to develop valid feature representations, which enhance performances. Our proposed approach achieves 97.69% YI, surpassing previous works in recognition performances. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Motion Similarity-Based Safety Hook Fastening State Recognition via Deep Siamese Neural Networks | - |
dc.type | Article | - |
dc.identifier.scopusid | 2-s2.0-85173067408 | - |
dc.type.rims | ART | - |
dc.citation.volume | 7 | - |
dc.citation.issue | 10 | - |
dc.citation.publicationname | IEEE SENSORS LETTERS | - |
dc.identifier.doi | 10.1109/LSENS.2023.3317759 | - |
dc.contributor.localauthor | Kwon, Dong-Soo | - |
dc.contributor.nonIdAuthor | Song, Kyu-Seob | - |
dc.contributor.nonIdAuthor | Lim, Jong Gwan | - |
dc.contributor.nonIdAuthor | Lee, Dong-Guw | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Sensor applications | - |
dc.subject.keywordAuthor | construction sites | - |
dc.subject.keywordAuthor | deep learning | - |
dc.subject.keywordAuthor | Internet of Things | - |
dc.subject.keywordAuthor | safety | - |
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