한국산업정보학회논문지 (Journal of Korea Society of Industrial Information Systems)

한국산업정보학회 (Korea Society of Industrial Information Systems)
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아동 그림 심리분석을 위한 인공지능 기반 객체 탐지 알고리즘 응용

Application of object detection algorithm for psychological analysis of children's drawing

  • 임지연 (한국원자력연구원 미래전략본부 인공지능응용전략실) ;
  • 이성옥 (주식회사 TnF.AI) ;
  • 김경표 (한국원자력연구원 한사우디원자력공동연구센터) ;
  • 유용균 (한국원자력연구원 미래전략본부 인공지능응용전략실)
  • 투고 : 2021.08.13
  • 심사 : 2021.10.19
  • 발행 : 2021.10.31
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초록

아동 그림은 내면의 감정을 표현할 수 있는 수단으로 아동 심리 진단에 널리 이용되고 있다. 본 논문에서는 아동 그림 분석에 적용할 수 있는 아동 그림 기반의 객체 탐지 알고리즘을 제안한다. 먼저 사진에서의 그림 영역을 추출하였고 데이터 라벨링 과정을 수행하였다. 이후 라벨링된 데이터 셋를 사용하여 Faster R-CNN 기반 객체 탐지모델을 학습하고 평가하였다. 탐지된 객체 결과를 기반으로 그림 면적 및 위치 또는 색상 정보를 계산하여 그림에 대한 기초정보를 쉽고 빠르게 분석할 수 있도록 설계하였다. 이를 통해 아동 그림을 이용한 심리분석에 있어 인공지능 기반 객체 탐지 알고리즘의 활용성을 보였다.

Children's drawings are widely used in the diagnosis of children's psychology as a means of expressing inner feelings. This paper proposes a children's drawings-based object detection algorithm applicable to children's psychology analysis. First, the sketch area from the picture was extracted and the data labeling process was also performed. Then, we trained and evaluated a Faster R-CNN based object detection model using the labeled datasets. Based on the detection results, information about the drawing's area, position, or color histogram is calculated to analyze primitive information about the drawings quickly and easily. The results of this paper show that Artificial Intelligence-based object detection algorithms were helpful in terms of psychological analysis using children's drawings.

키워드

과제정보

본 논문은 2021년 한국원자력연구원의 주요사업(524450-21) 지원에 의해 연구되었음.

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