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STUDY on DETECT STROKE SYMPTOMS USING FACE FEATURES
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Umirzakova, S. | - |
| dc.contributor.author | Whangbo, T.K. | - |
| dc.date.available | 2020-02-27T12:44:09Z | - |
| dc.date.created | 2020-02-12 | - |
| dc.date.issued | 2018 | - |
| dc.identifier.issn | 0000-0000 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4404 | - |
| dc.description.abstract | This paper present the early symptoms of stroke detection using face features. To achieve that, in this paper calculated wrinkles on forehead area, eye moving, mouth drooping, cheek line detection. Experimental results show that proposed stroke detection method achieved good results in this field. © 2018 IEEE. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.relation.isPartOf | 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018 | - |
| dc.subject | Face recognition | - |
| dc.subject | Face feature analysis | - |
| dc.subject | Face features | - |
| dc.subject | Line detection | - |
| dc.subject | Stroke detection | - |
| dc.subject | Wrinkle detections | - |
| dc.subject | Feature extraction | - |
| dc.title | STUDY on DETECT STROKE SYMPTOMS USING FACE FEATURES | - |
| dc.type | Article | - |
| dc.type.rims | ART | - |
| dc.description.journalClass | 1 | - |
| dc.identifier.doi | 10.1109/ICTC.2018.8539440 | - |
| dc.identifier.bibliographicCitation | 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018, pp.429 - 431 | - |
| dc.identifier.scopusid | 2-s2.0-85059462323 | - |
| dc.citation.endPage | 431 | - |
| dc.citation.startPage | 429 | - |
| dc.citation.title | 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018 | - |
| dc.contributor.affiliatedAuthor | Umirzakova, S. | - |
| dc.contributor.affiliatedAuthor | Whangbo, T.K. | - |
| dc.type.docType | Conference Paper | - |
| dc.subject.keywordAuthor | drooping mouth detection | - |
| dc.subject.keywordAuthor | face feature analysis | - |
| dc.subject.keywordAuthor | forehead wrinkle detection | - |
| dc.subject.keywordAuthor | Stroke detection | - |
| dc.subject.keywordPlus | Face recognition | - |
| dc.subject.keywordPlus | Face feature analysis | - |
| dc.subject.keywordPlus | Face features | - |
| dc.subject.keywordPlus | Line detection | - |
| dc.subject.keywordPlus | Stroke detection | - |
| dc.subject.keywordPlus | Wrinkle detections | - |
| dc.subject.keywordPlus | Feature extraction | - |
| dc.description.journalRegisteredClass | scopus | - |
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Related Researcher
- Whangbo, Taeg Keun
- College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))