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가상현실과 센서데이터를 활용하는 공중화장실 위험요소 지능형 평가 알고리즘

Intelligent Evaluation Algorithm for Identifying Hazards in Public Restrooms Using Virtual Reality and Sensor Data

  • 윤신숙 (남서울대학교 산학협력단 ) ;
  • 송정화 (남서울대학교 건축학과)
  • 투고 : 2024.02.02
  • 심사 : 2024.04.12
  • 발행 : 2024.04.30

초록

공중화장실에 존재하는 위험요소를 식별하기 위하여 가상현실로 공중화장실을 구현하였다. 가상현실 공중화장실에 대한 평가를 통하여 실제 공중화장실의 위험요소를 도출하고자 하였다. 이를 위하여 가상현실 공중화장실을 체험하는 사용자가 휴대한 스마트폰 내장 센서 중에 3-축 가속도 센서와 자이로센서가 있는데, 이 센서가 보내오는 데이터를 분석함으로써 시공간 요소 중에서 사용자에게 영향을 주는 요소를 도출하되, 해당 요소가 위험요인이 되는지 여부가 데이터 분석을 기반으로 하는 평가 알고리즘에 의거하여 이루어졌음을 보였다.

This study utilized virtual reality to construct a simulated public restroom environment to identify potential hazards. The objective was to discern actual risks in real-world public restrooms through this virtual setup. During the virtual restroom experience, data from the built-in 3-axis accelerometer and gyroscope sensors of testor's smart phones were collected. Analysis of this data helped in identifying spatio temporal factors impacting the users. The determination of these factors as risk elements was based on an evaluation algorithm grounded in data analysis.

키워드

과제정보

본 논문은 2022년도 정부에서 교육부의 재원으로 한국과학재단 지원사업의 지원으로 수행된 기초연구사업임.(No. 2022R1I1A3053087)

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