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An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Me...

An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Me...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2154c5e6279f42d09a54bf74550933b9

An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods

About this item

Full title

An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods

Publisher

Egypt: Hindawi

Journal title

Applied bionics and biomechanics, 2022-02, Vol.2022, p.7931729-14

Language

English

Formats

Publication information

Publisher

Egypt: Hindawi

More information

Scope and Contents

Contents

Recent advances in image processing and machine learning methods have greatly enhanced the ability of object classification from images and videos in different applications. Classification of human activities is one of the emerging research areas in the field of computer vision. It can be used in several applications including medical informatics,...

Alternative Titles

Full title

An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2154c5e6279f42d09a54bf74550933b9

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2154c5e6279f42d09a54bf74550933b9

Other Identifiers

ISSN

1176-2322

E-ISSN

1754-2103

DOI

10.1155/2022/7931729

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