Developing a new framework using Facial Recognition System for the detection of Progeria

被引：0

作者：

Singh, Utkarsh Sandeep ^{[1
]}

Gupta, Adesh Kumar ^{[1
]}

Choudhury, Tanupriya ^{[1
]}

Singh, Thipendra Pal ^{[1
]}

机构：

[1] Univ Petr & Energy Studies UPES, Dept Informat, Sch Comp Sci, Dehra Dun, Uttarakhand, India

来源：

PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND KNOWLEDGE ECONOMY (ICCIKE' 2019) | 2019年

关键词：

Hutchinson-Gilford; Progeria; incurable disease; facial features;

D O I：

10.1109/iccike47802.2019.9004365

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Hutchinson-Gilford progeria syndrome (HGPS) or Progeria is a deadly disease that is found generally in children between the age of 7-13 years. It is a very rare incurable disease. This is the technique for the detection of facial symptoms of the affected child at an early stage when the other symptoms are visible. The detection of this disease is done with the model that will compare the features of the affected child with a healthy child. If the variation is huge then the cure method can be applied at a very early stage to prevent them from further growth. Different algorithms are being studied for the comparison of facial features in this paper.

引用

页码：136 / 140

页数：5

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