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A CNN Model for Physical Activity Recognition and Energy Expenditure Estimation from an Eyeglass-Mou...

A CNN Model for Physical Activity Recognition and Energy Expenditure Estimation from an Eyeglass-Mou...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d56c61b4a744737b02771ac35c23506

A CNN Model for Physical Activity Recognition and Energy Expenditure Estimation from an Eyeglass-Mounted Wearable Sensor

About this item

Full title

A CNN Model for Physical Activity Recognition and Energy Expenditure Estimation from an Eyeglass-Mounted Wearable Sensor

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2024-05, Vol.24 (10), p.3046

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Metabolic syndrome poses a significant health challenge worldwide, prompting the need for comprehensive strategies integrating physical activity monitoring and energy expenditure. Wearable sensor devices have been used both for energy intake and energy expenditure (EE) estimation. Traditionally, sensors are attached to the hip or wrist. The primary...

Alternative Titles

Full title

A CNN Model for Physical Activity Recognition and Energy Expenditure Estimation from an Eyeglass-Mounted Wearable Sensor

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3d56c61b4a744737b02771ac35c23506

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d56c61b4a744737b02771ac35c23506

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s24103046

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