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Towards On-Device Dehydration Monitoring Using Machine Learning from Wearable Device’s Data

Towards On-Device Dehydration Monitoring Using Machine Learning from Wearable Device’s Data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d1be2b5d50d148c8b9460d73c40ad0f6

Towards On-Device Dehydration Monitoring Using Machine Learning from Wearable Device’s Data

About this item

Full title

Towards On-Device Dehydration Monitoring Using Machine Learning from Wearable Device’s Data

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-02, Vol.22 (5), p.1887

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

With the ongoing advances in sensor technology and miniaturization of electronic chips, more applications are researched and developed for wearable devices. Hydration monitoring is among the problems that have been recently researched. Athletes, battlefield soldiers, workers in extreme weather conditions, people with adipsia who have no sensation o...

Alternative Titles

Full title

Towards On-Device Dehydration Monitoring Using Machine Learning from Wearable Device’s Data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d1be2b5d50d148c8b9460d73c40ad0f6

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d1be2b5d50d148c8b9460d73c40ad0f6

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22051887

How to access this item