Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Classification of Rock-Paper-Scissors using Electromyography and Multi-Layer Perceptron
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Gang, Taeho | - |
| dc.contributor.author | Cho, Younggil | - |
| dc.contributor.author | Choi, Youngjin | - |
| dc.date.accessioned | 2021-06-22T15:42:22Z | - |
| dc.date.available | 2021-06-22T15:42:22Z | - |
| dc.date.issued | 2017-07 | - |
| dc.identifier.issn | 2325-033X | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/12077 | - |
| dc.description.abstract | The paper presents a method to classify electromyo-graphic (EMG) signals according to the postures of rock-paper scissors by using multi-layer perceptrons (MLPs). The EMGs are first applied to He-Zajac-Levine bilinear activation model and then the output of model is utilized to be inputs of the MLPs. Cross validation method is used to evaluate the classification performance of MLPs and its outcome also shows that accuracy of the proposed method is over 97%. | - |
| dc.format.extent | 2 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | IEEE | - |
| dc.title | Classification of Rock-Paper-Scissors using Electromyography and Multi-Layer Perceptron | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1109/URAI.2017.7992763 | - |
| dc.identifier.scopusid | 2-s2.0-85034240316 | - |
| dc.identifier.wosid | 000426976900103 | - |
| dc.identifier.bibliographicCitation | 2017 14TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), pp 406 - 407 | - |
| dc.citation.title | 2017 14TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI) | - |
| dc.citation.startPage | 406 | - |
| dc.citation.endPage | 407 | - |
| dc.type.docType | Proceedings Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalResearchArea | Robotics | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
| dc.relation.journalWebOfScienceCategory | Robotics | - |
| dc.subject.keywordAuthor | Electromyography (EMG) | - |
| dc.subject.keywordAuthor | muscle activation | - |
| dc.subject.keywordAuthor | multi-layer perceptron (MLP) | - |
| dc.subject.keywordAuthor | posture classification | - |
| dc.identifier.url | https://ieeexplore.ieee.org/document/7992763 | - |
- Files in This Item
- Go to Link
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Choi, Youngjin
- ERICA 공학대학 (DEPARTMENT OF ROBOT ENGINEERING)