Full metadata record

DC Field Value Language
dc.contributor.authorSeo, Daeil-
dc.contributor.authorYoo, Byounghyun-
dc.contributor.authorKo, Heedong-
dc.date.accessioned2024-01-19T23:04:44Z-
dc.date.available2024-01-19T23:04:44Z-
dc.date.created2021-09-03-
dc.date.issued2018-03-
dc.identifier.issn1743-8225-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/121638-
dc.description.abstractDespite the proliferation of wearable devices and mobile apps for healthcare activity monitoring, no model that complementarily integrates these monitoring logs making up personal big data has been put forth. In addition, such datasets are too large to yield meaningful information. To deal with data from heterogeneous sources, a common format and information fusion model for the complementary aggregation and abstraction of logs are necessary. We introduce a sensor and activity model that classifies heterogeneous sensors and propose an information fusion method that reorganises personal healthcare activity logs and visualises them hierarchically in a harmonised way while providing a meaningful summary.-
dc.languageEnglish-
dc.publisherINDERSCIENCE ENTERPRISES LTD-
dc.subjectMANAGEMENT-
dc.titleInformation fusion of heterogeneous sensors for enriched personal healthcare activity logging-
dc.typeArticle-
dc.identifier.doi10.1504/IJAHUC.2018.090597-
dc.description.journalClass1-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, v.27, no.4, pp.256 - 269-
dc.citation.titleINTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING-
dc.citation.volume27-
dc.citation.number4-
dc.citation.startPage256-
dc.citation.endPage269-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000428232900002-
dc.identifier.scopusid2-s2.0-85044719103-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaTelecommunications-
dc.type.docTypeArticle-
dc.subject.keywordPlusMANAGEMENT-
dc.subject.keywordAuthorhealthcare-
dc.subject.keywordAuthorinformation fusion-
dc.subject.keywordAuthoractivity model-
dc.subject.keywordAuthorsensor model-
Appears in Collections:
KIST Article > 2018
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

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

BROWSE