Classifying Food Items During an Eating Occasion: A Machine Learning Approach with Slope Dynamics fo...
Classifying Food Items During an Eating Occasion: A Machine Learning Approach with Slope Dynamics for Windowed Kinetic Data
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Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Wearable devices equipped with a range of sensors have emerged as promising tools for monitoring and improving individuals' health and lifestyle.
Contribute to the investigation and development of effective and reliable methods for dietary monitoring based on raw kinetic data generated by wearable devices.
This study uses resources from the N...
Alternative Titles
Full title
Classifying Food Items During an Eating Occasion: A Machine Learning Approach with Slope Dynamics for Windowed Kinetic Data
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_157c173af3bd493c93729ba6c518a3bf
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_157c173af3bd493c93729ba6c518a3bf
Other Identifiers
ISSN
2304-8158
E-ISSN
2304-8158
DOI
10.3390/foods14020276
