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A Fine-Tuning Based Approach for Daily Activity Recognition between Smart Homes

A Fine-Tuning Based Approach for Daily Activity Recognition between Smart Homes

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5c2aec91be9e4326b255cc157f24e4bb

A Fine-Tuning Based Approach for Daily Activity Recognition between Smart Homes

About this item

Full title

A Fine-Tuning Based Approach for Daily Activity Recognition between Smart Homes

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2023-05, Vol.13 (9), p.5706

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Daily activity recognition between different smart home environments faces some challenges, such as an insufficient amount of data and differences in data distribution. However, a deep network requires a large amount of labeled data for training. Additionally, inconsistent data distribution can lead to over-fitting of network learning. Additionally...

Alternative Titles

Full title

A Fine-Tuning Based Approach for Daily Activity Recognition between Smart Homes

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5c2aec91be9e4326b255cc157f24e4bb

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5c2aec91be9e4326b255cc157f24e4bb

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app13095706

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