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A Visual Analytics Approach for Detecting and Understanding Anomalous Resident Behaviors in Smart He...

A Visual Analytics Approach for Detecting and Understanding Anomalous Resident Behaviors in Smart He...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_10c28dc1ceca40e8bc3e1efe87394d1b

A Visual Analytics Approach for Detecting and Understanding Anomalous Resident Behaviors in Smart Healthcare

About this item

Full title

A Visual Analytics Approach for Detecting and Understanding Anomalous Resident Behaviors in Smart Healthcare

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2017-03, Vol.7 (3), p.254

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

With the development of science and technology, it is possible to analyze residents’ daily behaviors for the purpose of smart healthcare in the smart home environment. Many researchers have begun to detect residents’ anomalous behaviors and assess their physical condition, but these approaches used by the researchers are often caught in plight caus...

Alternative Titles

Full title

A Visual Analytics Approach for Detecting and Understanding Anomalous Resident Behaviors in Smart Healthcare

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_10c28dc1ceca40e8bc3e1efe87394d1b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_10c28dc1ceca40e8bc3e1efe87394d1b

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app7030254

How to access this item