Detailed Information

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

Reconstruction of Human Body Pose and Appearance Using Body-Worn IMUs and a Nearby Camera View for Collaborative Egocentric Telepresence

Full metadata record
DC Field Value Language
dc.contributor.authorZhang, Qian-
dc.contributor.authorParuchuri, Akshay-
dc.contributor.authorCha, YoungWoon-
dc.contributor.authorHuang, Jiabin-
dc.contributor.authorKandel, Jade-
dc.contributor.authorJiang, Howard-
dc.contributor.authorIlie, Adrian-
dc.contributor.authorState, Andrei-
dc.contributor.authorSzafir, Danielle Albers-
dc.contributor.authorSzafir, Daniel-
dc.contributor.authorFuchs, Henry-
dc.date.accessioned2024-07-08T09:30:58Z-
dc.date.available2024-07-08T09:30:58Z-
dc.date.issued2023-03-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/91953-
dc.description.abstractWe envision a future in which telepresence is available to users anytime and anywhere, enabled by sensors and displays embedded in accessories worn daily, such as watches, jewelry, belt buckles, shoes, and eyeglasses. We present a collaborative approach to 3D reconstruction that combines a set of IMUs worn by a target person with an external view from another nearby person wearing an AR headset, used for estimating the target person's body pose and reconstructing their appearance, respectively.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE COMPUTER SOC-
dc.titleReconstruction of Human Body Pose and Appearance Using Body-Worn IMUs and a Nearby Camera View for Collaborative Egocentric Telepresence-
dc.typeArticle-
dc.identifier.wosid000990508800014-
dc.identifier.doi10.1109/VRW58643.2023.00025-
dc.identifier.bibliographicCitation2023 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS, VRW, pp 96 - 97-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85159669501-
dc.citation.endPage97-
dc.citation.startPage96-
dc.citation.title2023 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS, VRW-
dc.type.docTypeProceedings Paper-
dc.publisher.location미국-
dc.subject.keywordAuthorComputing methodologies-Artificial intelligence-Computer vision Reconstruction-
dc.subject.keywordAuthorComputing methodologies Machine learning-Machine learning approaches-Neural networks-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Cha, YoungWoon photo

Cha, YoungWoon
IT (Department of Software)
Read more

Altmetrics

Total Views & Downloads

BROWSE