Annual Conference of KIPS (한국정보처리학회:학술대회논문집)

  • 2022.11a
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  • Pages.818-820
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  • 2022
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  • 2005-0011(pISSN)
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  • 2671-7298(eISSN)
Korea Information Processing Society (한국정보처리학회)
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Using Ensemble Learning Algorithm and AI Facial Expression Recognition, Healing Service Tailored to User's Emotion

앙상블 학습 알고리즘과 인공지능 표정 인식 기술을 활용한 사용자 감정 맞춤 힐링 서비스

  • Yang, seong-yeon (Department of Computer Science, Sookmyung women University) ;
  • Hong, Dahye (Department of Software and Communications Engineering, Sookmyung women University) ;
  • Moon, Jaehyun (Korea Technology Transfer Agents Association)
  • 양성연 (숙명여자대학교 컴퓨터공학과) ;
  • 홍다혜 (숙명여자대학교 소프트웨어융합과) ;
  • 문재현 (한국기술거래사회)
  • Published : 2022.11.21
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Abstract

The keyword 'healing' is essential to the competitive society and culture of Koreans. In addition, as the time at home increases due to COVID-19, the demand for indoor healing services has increased. Therefore, this thesis analyzes the user's facial expression so that people can receive various 'customized' healing services indoors, and based on this, provides lighting, ASMR, video recommendation service, and facial expression recording service.The user's expression was analyzed by applying the ensemble algorithm to the expression prediction results of various CNN models after extracting only the face through object detection from the image taken by the user.

Keywords

Acknowledgement

논문은 과학기술정보통신부 정보통신창의인재양성사업의 지원을 통해 수행한 ICT멘토링 프로젝트 결과물입니다.