Cited 0 time in
다문화 손동작 인식을 위한 HOG-HOD 알고리즘
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김지예 | - |
| dc.contributor.author | 박종일 | - |
| dc.date.accessioned | 2022-07-13T11:34:00Z | - |
| dc.date.available | 2022-07-13T11:34:00Z | - |
| dc.date.created | 2021-05-13 | - |
| dc.date.issued | 2017-09 | - |
| dc.identifier.issn | 1229-7771 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/151659 | - |
| dc.description.abstract | In recent years, research about Natural User Interface (NUI) has become focused because NUI system can give natural feelings for users in virtual reality. Most important thing in NUI system is how to communicate with the computer system. There are many things to interact with users such as speech, hand gestures, body actions. Among them, hand gesture is suitable for the purpose of NUI because people often use a relatively high frequency in daily life and hand gesture have meaning only by itself. This hand gestures called multi-cultural hand gesture and we proposed the method to recognize this kind of hand gestures. Proposed method is composed of Histogram of Oriented Gradients (HOG) used for hand shape recognition and Histogram of Oriented Displacements (HOD) used for hand center point trajectory recognition. | - |
| dc.language | 한국어 | - |
| dc.language.iso | ko | - |
| dc.publisher | 한국멀티미디어학회 | - |
| dc.title | 다문화 손동작 인식을 위한 HOG-HOD 알고리즘 | - |
| dc.title.alternative | HOG-HOD Algorithm for Recognition of Multi-cultural Hand Gestures | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | 박종일 | - |
| dc.identifier.doi | 10.9717/kmms.2017.20.8.1187 | - |
| dc.identifier.bibliographicCitation | 멀티미디어학회논문지, v.20, no.8, pp.1187 - 1199 | - |
| dc.relation.isPartOf | 멀티미디어학회논문지 | - |
| dc.citation.title | 멀티미디어학회논문지 | - |
| dc.citation.volume | 20 | - |
| dc.citation.number | 8 | - |
| dc.citation.startPage | 1187 | - |
| dc.citation.endPage | 1199 | - |
| dc.type.rims | ART | - |
| dc.identifier.kciid | ART002258905 | - |
| dc.description.journalClass | 2 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Hand Gesture Recognition | - |
| dc.subject.keywordAuthor | Multi-cultural Hand Gesture | - |
| dc.subject.keywordAuthor | NUI | - |
| dc.subject.keywordAuthor | RGBD Camera | - |
| dc.identifier.url | http://koreascience.or.kr/article/JAKO201728642462774.page | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
