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Towards unsupervised physical activity recognition using smartphone accelerometers

Towards unsupervised physical activity recognition using smartphone accelerometers

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2085583334

Towards unsupervised physical activity recognition using smartphone accelerometers

About this item

Full title

Towards unsupervised physical activity recognition using smartphone accelerometers

Publisher

New York: Springer US

Journal title

Multimedia tools and applications, 2017-04, Vol.76 (8), p.10701-10719

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

The development of smartphones equipped with accelerometers gives a promising way for researchers to accurately recognize an individual’s physical activity in order to better understand the relationship between physical activity and health. However, a huge challenge for such sensor-based activity recognition task is the collection of annotated or l...

Alternative Titles

Full title

Towards unsupervised physical activity recognition using smartphone accelerometers

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2085583334

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2085583334

Other Identifiers

ISSN

1380-7501

E-ISSN

1573-7721

DOI

10.1007/s11042-015-3188-y

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