Detailed Information

Cited 0 time in webofscience Cited 1 time in scopus
Metadata Downloads

Real-Time Virtual Lego Brick Manipulation Based on Hand Gesture Recognition

Full metadata record
DC Field Value Language
dc.contributor.authorTran Van Thanh-
dc.contributor.authorKim, Dongho-
dc.contributor.authorJeong, Young-Sik-
dc.date.accessioned2024-08-08T04:00:50Z-
dc.date.available2024-08-08T04:00:50Z-
dc.date.issued2015-
dc.identifier.issn1876-1100-
dc.identifier.issn1876-1119-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/17386-
dc.description.abstractRecently, with the development of interactive virtual reality technology, many devices have been created to serve the purpose of helping people interact with virtual objects accurately and meticulously. Leap Motion, one of the new devices developed recently, not only supports some basic gestures, but also provides enough information so that developers can define their own gestures. In this paper, we present a 3D simulation which is quite similar to real Lego products using VR technology and Leap Motion. Players can perform simple actions like assembling, changing color, rotating Lego bricks, and zooming in and out. They can also control GUI easily through hand gestures that are analyzed and processed inside the system.-
dc.format.extent8-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-
dc.titleReal-Time Virtual Lego Brick Manipulation Based on Hand Gesture Recognition-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1007/978-3-662-47487-7_35-
dc.identifier.scopusid2-s2.0-84937468835-
dc.identifier.wosid000380566900035-
dc.identifier.bibliographicCitationAdvanced Multimedia and Ubiquitous Engineering: Future Information Technology, v.352, pp 231 - 238-
dc.citation.titleAdvanced Multimedia and Ubiquitous Engineering: Future Information Technology-
dc.citation.volume352-
dc.citation.startPage231-
dc.citation.endPage238-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordAuthorvirtual reality-
dc.subject.keywordAuthorgesture recognition-
dc.subject.keywordAuthorLeap Motion-
dc.subject.keywordAuthorNUI (natural user interface)-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jeong, Young Sik photo

Jeong, Young Sik
College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
Read more

Altmetrics

Total Views & Downloads

BROWSE