Mobile shopping cart application using kinect
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gai, Shengnan | - |
dc.contributor.author | Jung, Eui jung | - |
dc.contributor.author | Yi, Byung ju | - |
dc.date.accessioned | 2021-06-23T05:23:22Z | - |
dc.date.available | 2021-06-23T05:23:22Z | - |
dc.date.created | 2021-01-22 | - |
dc.date.issued | 2013-11 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/30518 | - |
dc.description.abstract | This 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.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Mobile shopping cart application using kinect | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yi, Byung ju | - |
dc.identifier.doi | 10.1109/URAI.2013.6677370 | - |
dc.identifier.scopusid | 2-s2.0-84899075066 | - |
dc.identifier.wosid | 000333801000085 | - |
dc.identifier.bibliographicCitation | 2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2013, pp.289 - 291 | - |
dc.relation.isPartOf | 2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2013 | - |
dc.citation.title | 2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2013 | - |
dc.citation.startPage | 289 | - |
dc.citation.endPage | 291 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Robotics | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Robotics | - |
dc.subject.keywordPlus | Artificial intelligence | - |
dc.subject.keywordPlus | Dynamical systems | - |
dc.subject.keywordPlus | Musculoskeletal system | - |
dc.subject.keywordPlus | Gesture commands | - |
dc.subject.keywordPlus | Human bodies | - |
dc.subject.keywordPlus | Kinect | - |
dc.subject.keywordPlus | Kinect sensors | - |
dc.subject.keywordPlus | Mobile shopping | - |
dc.subject.keywordPlus | Novel applications | - |
dc.subject.keywordPlus | Shopping carts | - |
dc.subject.keywordPlus | Sensors | - |
dc.subject.keywordAuthor | Gesture Command | - |
dc.subject.keywordAuthor | Kinect | - |
dc.subject.keywordAuthor | Mobile Shopping Cart | - |
dc.subject.keywordAuthor | Skeleton Tracking | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/6677370 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
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.