Automatic body mass index detection using correlation of face visual cues

Autor:	V. B. Surya Prasath, R. Padma Priya, V. Vijayarajan, Shiv Bidani
Rok vydání:	2020
Předmět:	Correlation coefficient Computer science Biomedical Engineering Biophysics Health Informatics Bioengineering Body Mass Index Pattern Recognition Automated Biomaterials Correlation Image Processing Computer-Assisted Humans Face detection Sensory cue business.industry Digital imaging Reproducibility of Results nutritional and metabolic diseases Pattern recognition Feature (computer vision) Face Face (geometry) Artificial intelligence Cues business Body mass index Information Systems
Zdroj:	Technology and Health Care. 28:107-112
ISSN:	1878-7401 0928-7329
Popis:	Body mass index (BMI) is used widely as an indicator in general health. Determination of BMI using non-intrusive measurements are of interest and recent advancements in the availability of digital imaging sensors have paved the way for performing quick and automatic measurements. In this work, we consider automatic computation of BMI using correlation features from face images. We show that using face detection based facial fiducial points analysis provides good BMI prediction. Experimental results on comparing the correlation coefficients of facial ratios along with the colour feature has higher significance in BMI of a person.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ff7f28839a16d14c69d82edb170abd3 https://doi.org/10.3233/thc-191850 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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