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Clustering-based Model for Identifying Individual Differences in Vulnerability to Heat Strain - Using a Means Difference Analysis of Personal Biometric Characteristics -

개인의 열스트레스 위험수준 식별을 위한 클러스터링 기반 모델 - 개인 생체특성의 평균차이 분석을 활용하여 -

  • Choi, Yujin (Dept. of Architecture, Incheon National University) ;
  • Seo, Seungwon (Dept. of Architecture, Incheon National University) ;
  • Koo, Choongwan (Division of Architecture & Urban Design, Incheon National University)
  • Received : 2023.01.03
  • Accepted : 2023.03.08
  • Published : 2023.03.30

Abstract

As the frequency of heat waves rises, it is necessary to manage individual heat strains systematically. To address this challenge, this study aims to develop a clustering-based model for identifying individual differences in vulnerability to heat strain utilizing two proxy variables: metabolic rate estimated by heart rate or proxy A and eardrum temperature or proxy B. The k-means clustering method was used to divide individuals into different groups based on their vulnerability to heat strain and two groups such as high-risk and low-risk were classified for both of these two proxy variables. An independent samples t-test was used to analyze the differences in the mean values of 13 personal characteristics between the two groups. As a result, there were significant differences in 11 variables, which were mainly related to body fat for the groups classified by proxy A, but no significant differences for the groups classified by proxy B. This study is expected to establish a decision support system that can predict whether a person is at high-risk for heat strain based on their biometric characteristics.

Keywords

Acknowledgement

이 연구는 2020년도 한국연구재단 연구비 지원에 의한 결과의 일부임. 과제번호:NRF-2020R1C1C1004147.

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