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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 563 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 551 | - |
dc.citation.title | INDUSTRIAL ROBOT-AN INTERNATIONAL JOURNAL | - |
dc.citation.volume | 39 | - |
dc.contributor.author | Kim, Heon-Hui | - |
dc.contributor.author | Ha, Yun-Su | - |
dc.contributor.author | Bien, Zeungnam | - |
dc.contributor.author | Park, Kwang-Hyun | - |
dc.date.accessioned | 2023-12-22T04:37:06Z | - |
dc.date.available | 2023-12-22T04:37:06Z | - |
dc.date.created | 2013-06-14 | - |
dc.date.issued | 2012-12 | - |
dc.description.abstract | Purpose - The purpose of this paper is to deal with a method for gesture encoding and reproduction, particularly aiming at a text-to-gesture (TTG) system that enables robotic agents to generate proper gestures automatically and naturally in human-robot interaction. Design/methodology/approach - Reproducing proper gestures, naturally synchronized with speech, is important under the TTG concept. The authors first introduce a gesture model that is effective to abstract and describe a variety of human gestures. Based on the model, a gesture encoding/decoding scheme is proposed to encode observed gestures symbolically and parametrically and to reproduce robot gestures from the codes. In particular, this paper mainly addresses a gesture scheduling method that deals with the alignment and refinement of gestural motions, in order to reproduce robotic gesticulation in a human-like, natural fashion. Findings - The proposed method has been evaluated through a series of questionnaire surveys, and it was found that reproduced gestures by a robotic agent could appeal satisfactorily to human beings. Originality/value - This paper provides a series of algorithms to treat overlapped motions and to refine the timing parameters for the motions, so that robotic agents reproduce human-like, natural gestures | - |
dc.identifier.bibliographicCitation | INDUSTRIAL ROBOT-AN INTERNATIONAL JOURNAL, v.39, no.6, pp.551 - 563 | - |
dc.identifier.doi | 10.1108/01439911211268705 | - |
dc.identifier.issn | 0143-991X | - |
dc.identifier.scopusid | 2-s2.0-84867213744 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/3947 | - |
dc.identifier.url | https://www.emeraldinsight.com/doi/full/10.1108/01439911211268705 | - |
dc.identifier.wosid | 000312473800003 | - |
dc.language | 영어 | - |
dc.publisher | EMERALD GROUP PUBLISHING LIMITED | - |
dc.title | Gesture encoding and reproduction for human-robot interaction in text-to-gesture systems | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial; Robotics | - |
dc.relation.journalResearchArea | Engineering; Robotics | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Robotics | - |
dc.subject.keywordAuthor | Programming and algorithm theory | - |
dc.subject.keywordAuthor | Text-to-gesture | - |
dc.subject.keywordAuthor | Automatic gesture generation | - |
dc.subject.keywordAuthor | Gesture encoding/decoding | - |
dc.subject.keywordAuthor | Gesture reproduction | - |
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