Log in to save to my catalogue

Classification accuracies of physical activities using smartphone motion sensors

Classification accuracies of physical activities using smartphone motion sensors

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6246b77bd2544d928a57c66976c1b927

Classification accuracies of physical activities using smartphone motion sensors

About this item

Full title

Classification accuracies of physical activities using smartphone motion sensors

Publisher

Canada: Gunther Eysenbach MD MPH, Associate Professor

Journal title

Journal of medical Internet research, 2012-10, Vol.14 (5), p.e130-e130

Language

English

Formats

Publication information

Publisher

Canada: Gunther Eysenbach MD MPH, Associate Professor

More information

Scope and Contents

Contents

Over the past few years, the world has witnessed an unprecedented growth in smartphone use. With sensors such as accelerometers and gyroscopes on board, smartphones have the potential to enhance our understanding of health behavior, in particular physical activity or the lack thereof. However, reliable and valid activity measurement using only a sm...

Alternative Titles

Full title

Classification accuracies of physical activities using smartphone motion sensors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6246b77bd2544d928a57c66976c1b927

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6246b77bd2544d928a57c66976c1b927

Other Identifiers

ISSN

1438-8871,1439-4456

E-ISSN

1438-8871

DOI

10.2196/jmir.2208

How to access this item