Log in to save to my catalogue

The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in...

The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2d8f79737f9f40b3beca40bd78422cab

The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in Domestic Dogs ( Canis familiaris ): A Validation Study

About this item

Full title

The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in Domestic Dogs ( Canis familiaris ): A Validation Study

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2024-09, Vol.24 (18), p.5955

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Assessing the behaviour and physical attributes of domesticated dogs is critical for predicting the suitability of animals for companionship or specific roles such as hunting, military or service. Common methods of behavioural assessment can be time consuming, labour-intensive, and subject to bias, making large-scale and rapid implementation challe...

Alternative Titles

Full title

The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in Domestic Dogs ( Canis familiaris ): A Validation Study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2d8f79737f9f40b3beca40bd78422cab

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2d8f79737f9f40b3beca40bd78422cab

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s24185955

How to access this item