Journal of Korea Game Society (한국게임학회 논문지)

Korea Game Society (한국게임학회)
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A Study on a Stress Measurement Algorithm Based on ECG Analysis of NUI-applied Tangible Game Users

NUI가 적용된 체감형 게임의 사용자 심전도 분석에 의한 스트레스 측정 알고리즘 연구

  • 이현주 (세종대학교 컴퓨터공학과) ;
  • 신동일 (세종대학교 컴퓨터공학과) ;
  • 신동규 (세종대학교 컴퓨터공학과)
  • Received : 2013.07.29
  • Accepted : 2013.10.08
  • Published : 2013.10.20
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Abstract

NUI(Natural User Interface) allows users to directly interact with surrounding digital devices using their voices or body motions without additional input/output interface devices. Our study has been carried out on human users who play a tangible game with body motions in the NUI-applied smart space. ECG was measured for 60 seconds duration before and after playing the game to determine user stress levels, and the measured signals were analyzed through an improved Random Forest algorithm. In order to experiment by a supervised learning, users additionally input whether or not the user felt stress. Moreover, the improved algorithm showed 1.04% higher accuracy than existing algorithm.

NUI(Natural User Interface)는 별도의 입출력 장치 없이 사용자 자신의 음성/신체부위 등을 사용하여 주변 디지털 기기를 제어할 수 있도록 하는 기술이다. 본 논문에서는 NUI가 적용된 스마트 공간에서 신체를 직접적으로 사용하는 체감형 게임을 실행하는 사용자를 대상으로 연구를 진행하였다. 게임 사용자의 스트레스 발생 여부를 알아내기 위하여 게임 시행 전과 후로 나누어 각각 60초에 걸쳐서 심전도를 측정하였고, 측정된 신호를 개량된 Random Forest 알고리즘으로 분석하였다. 교사학습 방식에 의한 실험을 위하여 사용자는 자신의 스트레스 발생 여부를 별도로 입력하여 저장하도록 하였으며, 실험결과 개량된 알고리즘이 기존의 알고리즘보다 1.04% 높은 정확도를 보여주었다.

Keywords

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