DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이주형 | ko |
dc.contributor.author | 이길재 | ko |
dc.contributor.author | 김형직 | ko |
dc.contributor.author | 변증남 | ko |
dc.date.accessioned | 2013-03-03T09:11:24Z | - |
dc.date.available | 2013-03-03T09:11:24Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 1996 | - |
dc.identifier.citation | 전자공학회논문지 | - |
dc.identifier.issn | 1057-7130 | - |
dc.identifier.uri | http://hdl.handle.net/10203/78137 | - |
dc.description.abstract | In this thesis, a real-time recognizing system is studied for human machine interface. Specifically, the problem of vision-based human hand tracking is studied. In this study, the real-time implementation issue and a means of how to convey various human intentions to a machine are investigated. For this, a special color vision system for real-time image processing is designed. Also, for recognition of hand gestures, expandable gesture sets are introduced. This system overcomes some disadvantages of a hand tracking device that does not show other objects besides the hand motion To show applications of the proposed system, human machine interface to PUMA560 is implemented and experimentally tested. | - |
dc.language | Korean | - |
dc.publisher | 대한전자공학회 | - |
dc.title | 칼라 비젼을 이용한 실시간 손동작 인식 시스템에 관한 연구 | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.publicationname | 전자공학회논문지 | - |
dc.contributor.localauthor | 변증남 | - |
dc.contributor.nonIdAuthor | 이주형 | - |
dc.contributor.nonIdAuthor | 이길재 | - |
dc.contributor.nonIdAuthor | 김형직 | - |
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