NDLI: Classification-Based Skin Aging Analysis Scheme

Content Provider	IEEE Xplore Digital Library
Author	Young-Hwan Choi Kyungrok Kim Eenjun Hwang
Copyright Year	2010
Abstract	With the wide-spread interest in various healthcare services, there has been increasing demand for quantitative and objective criteria on which health condition of subjects can be effectively evaluated. Human organs show different symptoms depending on the type of health problem. Among human organs, skin has drawn much attention since it is the outermost part and hence easy to investigate. Skin condition is known to be analyzed and estimated using various features such as wrinkle and elasticity. In this paper, we propose an automatic skin aging evaluation scheme. More specifically, we first collect wrinkle-related features from subjects of different ages and dermatologists evaluate their aging level for the ground truth. And then, we train and compare non-linear, multi-class SVM (Support Vector Machine) using these datasets and ground truth for classification. To evaluate the effectiveness of our proposed scheme, we performed experiments using the SVM. We report some of the result.
Starting Page	347
Ending Page	349
File Size	307810
Page Count	3
File Format	PDF
ISBN	9781769540122
e-ISBN	9781424466009
DOI	10.1109/APWeb.2010.45
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-06
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Humans Medical services Elasticity SVM Support vector machines Support vector machine classification Classification Aging Feature extraction Skin Skeleton Skin Age
Content Type	Text
Resource Type	Article

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