Nutritional assessment of children under five based on anthropometric measurements with image processing techniques

Victor A. Ayma, Victor H. Ayma, Armando Torre, Lizette Ganoza

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Nutritional assessment is an important evaluation to prevent and control malnutrition, which is one of the main causes associated with child mortality. Weight and height are the most frequently measured morphological traits which in combination with child's gender and age, generates anthropometric indices to establish child's nutritional status. Nevertheless, accomplishment of this task in rural areas is difficult because of complications to transport bulky and heavy equipment, which must be properly and adequately calibrated. This work proposed a novel approach to perform nutritional assessments of children under five, through a system focused on the estimation of anthropometric indices, based on the measurements obtained from a set of body part images and its relations with child's gender and age. The results showed that sensitivity and specificity for the anthropometric indicators, ranged from 66% to 100% and 88% to 100%, respectively. Moreover, overall accuracies were over 85% up to 100%. Additionally, the experiments conducted shown our method as a viable solution to perform nutritional evaluations via accurate anthropometric index estimations.

Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE ANDESCON
Place of PublicationUnited States
PublisherIEEE Xplore
ISBN (Electronic)9781509025312
ISBN (Print)9781509035694
StatePublished - 27 Jan 2017
Externally publishedYes
EventSIBGRAPI Conference on Graphics, Patterns and Images - Sao Paulo, Brazil
Duration: 4 Oct 20167 Oct 2016
Conference number: 29

Publication series

NameBrazilian Symposium on Computer Graphics and Image Processing
ISSN (Print)1530-1834
ISSN (Electronic)2377-5416


ConferenceSIBGRAPI Conference on Graphics, Patterns and Images
Abbreviated titleSIBGRAPI
CitySao Paulo
Internet address

Bibliographical note

Publisher Copyright: © 2016 IEEE.

SIBGRAPI - Conference on Graphics, Patterns and Images is an international conference annually promoted by the Brazilian Computer Society (SBC).

Date Added to IEEE Xplore: 02 February 2017.


  • image processing
  • machine learning
  • malnutrition
  • neural networks
  • nutrition assessment


Dive into the research topics of 'Nutritional assessment of children under five based on anthropometric measurements with image processing techniques'. Together they form a unique fingerprint.

Cite this