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http://dx.doi.org/10.5369/JSST.2009.18.5.385

Algorithm development of a body pressure detection sensor for the occupant classification system  

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)
Publication Information
Journal of Sensor Science and Technology / v.18, no.5, 2009 , pp. 385-392 More about this Journal
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.
Keywords
body pressure detection; FSR(force sensing resistor); OCS(occupant classification system); pattern recognition; weight;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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