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Identification of malnutrition and prediction of BMI from facial images using real‐time image proces...

Identification of malnutrition and prediction of BMI from facial images using real‐time image proces...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1049_ipr2_12222

Identification of malnutrition and prediction of BMI from facial images using real‐time image processing and machine learning

About this item

Full title

Identification of malnutrition and prediction of BMI from facial images using real‐time image processing and machine learning

Journal title

IET image processing, 2022-02, Vol.16 (3), p.647-658

Language

English

Formats

More information

Scope and Contents

Contents

Human faces contain useful information that can be used in the identification of age, gender, weight etc. Among these biometrics, body mass index (BMI) and body weight are good indicators of a healthy person. Motivated by the recent health science studies, this work investigates ways to identify malnutrition affected people and obese people by anal...

Alternative Titles

Full title

Identification of malnutrition and prediction of BMI from facial images using real‐time image processing and machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_1049_ipr2_12222

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1049_ipr2_12222

Other Identifiers

ISSN

1751-9659

E-ISSN

1751-9667

DOI

10.1049/ipr2.12222

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