Abstract
Besides genetic characteristics, people also undergo a process of skin aging under the influence of diverse factors such as sun exposure, food intake, sleeping patterns, and drinking habits, which are closely related to their personal lifestyle. So far, many studies have been conducted to analyze skin conditions quantitatively. However, to describe the current skin condition or predict future skin aging effectively, we need to understand the correlation between skin aging and lifestyle. In this study, we first demonstrate how to trace people's skin condition accurately using scale-invariant feature transform and the color histogram intersection method. Then, we show how to estimate skin texture aging depending on the lifestyle by considering various features from face, neck, and hand dermoscopy images. Lastly, we describe how to predict future skin conditions in terms of skin texture features. Based on the Pearson correlation, we describe the correlation between skin aging and lifestyle, and estimate skin aging according to lifestyle using the polynomial regression and support vector regression models. We evaluate the performance of our proposed scheme through various experiments.
Original language | English |
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Article number | 1228 |
Journal | Applied Sciences (Switzerland) |
Volume | 9 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2019 |
Bibliographical note
Funding Information:Author Contributions: Conceptualization, J.R. and Y.C.; investigation, H.K.; methodology, J.R. and Y.C.; software, J.R.; visualization, J.R.; writing—original draft preparation, J.R.; writing—review and editing, E.H.; supervision, E.H.; Funding: This research was supported by the Brain Korea 21 Plus Project in 2019, and by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2016R1D1A1A09919590).
Publisher Copyright:
© 2019 by the authors.
Keywords
- Lifestyle analysis
- Skin aging estimation
- Skin aging simulation
- Skin texture analysis
ASJC Scopus subject areas
- General Materials Science
- Instrumentation
- General Engineering
- Process Chemistry and Technology
- Computer Science Applications
- Fluid Flow and Transfer Processes