• 한국안전학회지
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• 제35권2호
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• pp.94-99
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• 2020

Bikers can be subjected to injuries from unexpected accidents even if they wear basic helmets. A properly designed airbag can efficiently protect the critical areas of the human body. This study introduces a wearable smart airbag system using machine learning techniques to protect human neck and shoulders. When a bicycle accident happens, a microprocessor analyzes the biker's motion data to recognize if it is a critical accident by comparing with accident classification models. These models are trained by a variety of possible accidents through machine learning techniques, like k-means and SVM methods. When the microprocessor decides it is a critical accident, it issues an actuation signal for the gas inflater to inflate the airbag. A protype of the wearable smart airbag with the machine learning techniques is developed and its performance is tested using a human dummy mounted on a moving cart.

• 한국멀티미디어학회논문지
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• 제13권1호
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• pp.66-75
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• 2010

본 논문에서는 단일 비디오카메라와 초음파센서를 이용한 스마트 에어백용 승객 감지 시스템을 제안하였다. 승객의 체형과 얼굴 위치를 검출하기 위하여, 실시간 검출이 용이한 얼굴색 및 움직임 정보를 이용한다. 비디오 카메라 영상에서 얼굴색에 해당하는 색차신호 (U/V)의 경계값과 휘도신호 (Y)의 현재 프레임과 이전 프레임간의 차이값을 이용하여 후보 얼굴 블록 영상을 만든 후 모폴로지 및 라벨링 과정을 거쳐 얼굴 위치를 검출한다. 제안한 승객 자세감지 시스템의 성능을 평가하기 위하여 차량 지그에 IEEE 카메라, 초음파 센서 및 적외선 LED를 설치하여 다양한 실험을 수행하였다.

• International Journal of Automotive Technology
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• 제3권2호
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• pp.53-56
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• 2002

A new generation of the BMW child seat and occupant detection system SBE2 far a smart airbag system is described. The SBE2 system consists of two subsystems: OC (Occupant Classification) and FDS (Field Detection System). The OC system is a force sensitive sensor array that measures a pressure profile. The FDS system detects child seat and occupant according to the change of electrical field generated by four capacitive plates. Combining the signals from both subsystems, the BMW SBE2 system can distinguish fully automatically between a child seat and a person.

• 한국전기전자재료학회논문지
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• 제22권3호
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• pp.222-229
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• 2009

A noble infrared sensor was studied for passenger conditional detection in vehicle, This research relates to uncooled infrared sensors for detecting the presence, type and temperature of occupants in vehicle. It sense that the occupants purpose to control the smart airbag for safety in the case of adult or child and to control the automatic air conditioning for convenience. This paper described the design and the fabrication of microbolometers which were composed of 2 by 8 elements using the surface micromachining technology. The characteristics of the array were investigated in the spectral region of $8{\sim}12{\mu}m$. The fabricated detectors exhibited the thermal mass of $7.05{\times}10^{-9}\;J/K$, the thermal conductance of $1.03{\times}10^{-6}\;W/K$, the thermal time constant of 6.8 ms, the responsivity of $2.96{\times}10^4\;V/W$ and the detectivity of $1.01{\times}10^9\;cmHz^{1/2}/W$, at the chopper frequency of 10 Hz and the bias current of $4.4{\mu}A$. We could successfully detect the human body condition in the divided zone. As a results, we concluded that microbolometer optimized in this research could be useful for the application of passenger conditional detection in vehicle.