Development and Evaluation of an Self-Operated Face Capturing System

자가 안면영상 촬영장치 개발 및 검증

  • Jeon, Young-Ju (Constitutional Biology and Medical Engineering Research Center, Korea Institute of Oriental Medicine) ;
  • Do, Jun-Hyeong (Constitutional Biology and Medical Engineering Research Center, Korea Institute of Oriental Medicine) ;
  • Kim, Jang-Wong (Constitutional Biology and Medical Engineering Research Center, Korea Institute of Oriental Medicine) ;
  • Kim, Sang-Gil (Constitutional Biology and Medical Engineering Research Center, Korea Institute of Oriental Medicine) ;
  • Lee, Hae-Jung (Constitutional Biology and Medical Engineering Research Center, Korea Institute of Oriental Medicine) ;
  • Lee, Yu-Jung (Constitutional Biology and Medical Engineering Research Center, Korea Institute of Oriental Medicine) ;
  • Kim, Keun-Ho (Constitutional Biology and Medical Engineering Research Center, Korea Institute of Oriental Medicine) ;
  • Kim, Jong-Yeol (Constitutional Biology and Medical Engineering Research Center, Korea Institute of Oriental Medicine)
  • 전영주 (한국한의학연구원 체질생물학.의공학연구센터) ;
  • 도준형 (한국한의학연구원 체질생물학.의공학연구센터) ;
  • 김장웅 (한국한의학연구원 체질생물학.의공학연구센터) ;
  • 김상길 (한국한의학연구원 체질생물학.의공학연구센터) ;
  • 이혜정 (한국한의학연구원 체질생물학.의공학연구센터) ;
  • 이유정 (한국한의학연구원 체질생물학.의공학연구센터) ;
  • 김근호 (한국한의학연구원 체질생물학.의공학연구센터) ;
  • 김종열 (한국한의학연구원 체질생물학.의공학연구센터)
  • Received : 2011.06.21
  • Accepted : 2011.08.08
  • Published : 2011.08.30

Abstract

Objectives : The purpose of this study is to develop an apparatus which can take a facial image by self-operated capturing technique. The user can obtain one's facial image immediately after adjusting facial tilt and focusing distance. The system has been designed for classifying Sasang typology based on facial image. Methods : The system is composed of a Webcam, one-way glass mirror and mini LCD. The Webcam takes a facial image which is displayed on the mini LCD. Then the user can see and adjust to the right position in the real time through the image mirror-reflected from the mini LCD. The optical sensor is used to estimate the proper focusing distance. To verify the performance of the system, 11 characteristic points on the facial image are used and compared with high performance DSLR camera(D700) by applying the coefficient of variance and Bland-Altman Plot. Results : The developed system and D700 show enough agreement with the small coefficient of variance to analyse constitutional types with a facial im mage. However, the result of Bland-Altman plot shows that the width parameters have distortions owing to short focusing distance. Conclusions : The system is expected to be utilized on u-healthcare services for home environment after improving the distortion in the width parameters.

Keywords

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