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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yang, Junmo | - |
| dc.contributor.author | Kim, Youngrae | - |
| dc.contributor.author | Kim, Jisu | - |
| dc.contributor.author | Lim, Seunghyun | - |
| dc.contributor.author | Yoon, Jingon | - |
| dc.contributor.author | Yun, Dongwon | - |
| dc.date.accessioned | 2024-11-07T20:10:13Z | - |
| dc.date.available | 2024-11-07T20:10:13Z | - |
| dc.date.created | 2024-07-04 | - |
| dc.date.issued | 2024-11 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.11750/57150 | - |
| dc.description.abstract | This study introduces a flexure-based supernumerary robotic finger (FBSF) inspired by the proportions of the human thumb, aiming to overcome existing limitations in robotic finger design. In pursuit of seamless cooperation with the user's hand, human finger proportions are replicated. Finite element analysis of all five fingers indicates that the thumb-mimicking configuration offers the largest workspace and bending angle. The FBSF, featuring a polycarbonate paired crossed flexural hinge structure and high impact polystyrene links, closely mirrors the human thumb. Weighing 59 g (main body) and 170 g (control box), the FBSF enables user-driven control and decoupled actuation based on user intent, utilizing the electromyographic signal of the extensor carpi ulnaris via isometric contractions. An experimental protocol, including task blocks (releasing, clenching), confirms the FBSF's responsiveness to user intentions. When utilizing FBSF, it has been verified using a motion capture camera system that it is possible to extend the existing hand workspace by approximately 29.72%. Performance tests demonstrate the FBSF's capability to grasp various objects and assist in tasks, with a maximum load-bearing capacity of 2.6 kg experimentally verified. This study demonstrates the potential of the developed FBSF to augment hand functionality in diverse applications. A flexure-based supernumerary robotic finger (FBSF), inspired by the human thumb, uses electromyographic signals from specific muscle contractions for input actuation, aligning with user intentions. It extends the workspace by approximately 29.72% compared to the original. Using FBSF, it is possible to grasp various objects, with a maximum payload of 2.6 kg.image (c) 2024 WILEY-VCH GmbH | - |
| dc.language | English | - |
| dc.publisher | Wiley | - |
| dc.title | Development of Flexure-Based Supernumerary Robotic Finger for Hand Function Augmentation | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1002/aisy.202400131 | - |
| dc.identifier.wosid | 001249821200001 | - |
| dc.identifier.scopusid | 2-s2.0-85196194082 | - |
| dc.identifier.bibliographicCitation | Yang, Junmo. (2024-11). Development of Flexure-Based Supernumerary Robotic Finger for Hand Function Augmentation. Advanced Intelligent Systems, 6(11). doi: 10.1002/aisy.202400131 | - |
| dc.description.isOpenAccess | TRUE | - |
| dc.subject.keywordAuthor | robotic hand augmentation | - |
| dc.subject.keywordAuthor | supernumerary robotic finger | - |
| dc.subject.keywordAuthor | user-intent actuation | - |
| dc.subject.keywordAuthor | crossed flexural hinge | - |
| dc.subject.keywordAuthor | electromyographic signals | - |
| dc.subject.keywordPlus | DESIGN | - |
| dc.citation.number | 11 | - |
| dc.citation.title | Advanced Intelligent Systems | - |
| dc.citation.volume | 6 | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Automation & Control Systems; Computer Science; Robotics | - |
| dc.relation.journalWebOfScienceCategory | Automation & Control Systems; Computer Science, Artificial Intelligence; Robotics | - |
| dc.type.docType | Article | - |