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Mobile shopping cart application using kinect

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dc.contributor.authorGai, Shengnan-
dc.contributor.authorJung, Eui jung-
dc.contributor.authorYi, Byung ju-
dc.date.accessioned2021-06-23T05:23:22Z-
dc.date.available2021-06-23T05:23:22Z-
dc.date.created2021-01-22-
dc.date.issued2013-11-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/30518-
dc.description.abstractThis paper presents a novel application of a perception sensor Kinect to a mobile shopping cart (MSC). We attempt to exercise daily-used instructions as commands by using skeleton tracking of the Kinect sensor. A pair of differential-driven wheels together with dynamical system is mounted on the chassis of the shopping cart, which reshapes the shopping cart as a mobile robot. The commercialized Kinect sensor is employed to detect the gestures of the human body. The mobile shopping cart equipped with Kinect could execute different gesture command, for example, go ahead, draw back, set stop and so on. The response time is within 0.5 second. To do the right reflexes, we define a set of trajectory determined by the gesture of the target customer. The experiment result shows the validity of proposed method. © 2013 IEEE.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE Computer Society-
dc.titleMobile shopping cart application using kinect-
dc.typeArticle-
dc.contributor.affiliatedAuthorYi, Byung ju-
dc.identifier.doi10.1109/URAI.2013.6677370-
dc.identifier.scopusid2-s2.0-84899075066-
dc.identifier.wosid000333801000085-
dc.identifier.bibliographicCitation2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2013, pp.289 - 291-
dc.relation.isPartOf2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2013-
dc.citation.title2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2013-
dc.citation.startPage289-
dc.citation.endPage291-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaRobotics-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryRobotics-
dc.subject.keywordPlusArtificial intelligence-
dc.subject.keywordPlusDynamical systems-
dc.subject.keywordPlusMusculoskeletal system-
dc.subject.keywordPlusGesture commands-
dc.subject.keywordPlusHuman bodies-
dc.subject.keywordPlusKinect-
dc.subject.keywordPlusKinect sensors-
dc.subject.keywordPlusMobile shopping-
dc.subject.keywordPlusNovel applications-
dc.subject.keywordPlusShopping carts-
dc.subject.keywordPlusSensors-
dc.subject.keywordAuthorGesture Command-
dc.subject.keywordAuthorKinect-
dc.subject.keywordAuthorMobile Shopping Cart-
dc.subject.keywordAuthorSkeleton Tracking-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/6677370-
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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