Please use this identifier to cite or link to this item:

Title: An Artificial Intelligence Approach to Individuals' Age Assessment
Authors: Martins, Diana
Alves, Victor
Vicente, Henrique
Neves, José
Keywords: Individuals’ Age Prediction
Pelvis X-Ray Images
Logic Programming
Knowledge Representation and Reasoning
Case Based Computing
Decision Support Systems
Issue Date: 2016
Publisher: WSEAS
Citation: Martins, D., Alves, V., Vicente, H. & Neves, J., An Artificial Intelligence Approach to Individuals’ Age Assessment., WSEAS Transactions on Systems, 15: 168–179, 2016.
Abstract: A link between patterns of pelvic growth and human life history is supported by the finding that, cross-culturally, variation in maturation rates of female pelvis are correlated with variation in ages of menarche and first reproduction, i.e., it is well known that the human dimensions of the pelvic bones depend on the gender and vary with the age. Indeed, one feature in which humans appear to be unique is the prolonged growth of the pelvis after the age of sexual maturity. Both the total superoinferior length and mediolateral breadth of the pelvis continues to grow markedly after puberty, and do not reach adult proportions until the late teens years. This continuation of growth is accomplished by relatively late fusion of the separate centers of ossification that form the bones of the pelvis. Hence, in this work we will focus on the development of an intelligent decision support system to predict individual’s age based on a pelvis' dimensions criteria. Some basic image processing techniques were applied in order to extract the relevant features from pelvic X-rays, being the computational framework built on top of a Logic Programming approach to Knowledge Representation and Reasoning that caters for the handling of incomplete, unknown, or even self-contradictory information, complemented with a Case Base approach to computing.
ISSN: 1109-2777
Type: article
Appears in Collections:QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

Files in This Item:

File Description SizeFormat
2016_WTS_2016_RD.pdf31.29 kBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois