Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Algorithm development of a body pressure detection sensor for the occupant classification system

고안전 에어백의 승객 분류를 위한 체압감지 센서를 위한 알고리즘 개발

  • Yun, Duk-Sun (High Safety Vehicle Core Technology Center, Department of Mechanical & Automotive Engineering, Inje University) ;
  • Oh, Seong-Rok (Department of Mechanical & Automotive Engineering, Graduate School, Inje University) ;
  • Song, Jeong-Hoon (Department of Mechanics Engineering, Inje University) ;
  • Kim, Byeong-Soo (High Safety Vehicle Core Technology Center, Department of Mechanical & Automotive Engineering, Inje University) ;
  • Boo, Kwang-Suck (High Safety Vehicle Core Technology Center, Department of Mechanical & Automotive Engineering, Inje University)
  • 윤득선 (인제대학교 고안전차량핵심기술연구소, 기계자동차공학부) ;
  • 오성록 (인제대학교 기계자동차공학부 대학원) ;
  • 송정훈 (동명대학교 메카트로닉스공학과) ;
  • 김병수 (인제대학교 고안전차량핵심기술연구소, 기계자동차공학부) ;
  • 부광석 (인제대학교 고안전차량핵심기술연구소, 기계자동차공학부)
  • Published : 2009.09.30
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Abstract

This paper describes the algorithm development of a new body pressure detection sensor for occupant classification system. U.S. Government has required that advanced airbag system should be installed to every automobiles after 2006 according to FMVSS 208 regulation. Therefore, Occupant Classification System should be provided the passenger with safety in order to protect the infants or children that sit in the front passenger seat. When an occupant sits on the chair of the vehicle, deployment of the airbag depends on passenger's weigh distribution and postures. Authors have been developed a new pattern recognition of passenger and weight distribution at the same time by Force Sensing Resistor for the safety.

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References

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