• 대한의용생체공학회:의공학회지
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• 제18권3호
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• pp.315-323
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• 1997

Driving is a complex vigilance task that includes improper lookout, excessive speed and inattention. The primary objective of this research is to detect driver drowsiness so that the driver can be alerted to an impending traffic accident in performance. We developed the automatic detection and warning system during drowsy driving. A drowsiness detection system must be able to monitor driver status and detect the detrimental changes of a driver performance. Eyeblink has been found to be a reliable factor of drowsiness detection in earlier studies. As an additional parameter, we also considered the yawning which often occurs in a low vigilance state and predicts the drowsy state. We used a computer vision method to extract the eyeblink and yawning in the face image sequences. When the drowsy state was detected, the driver was refreshed by alarming device and menthol scent generator after deciding the warning level by fuzzy logic. For the evaluation of our system, we measured the physiological parameters such as EOG and EEG. The results indicated that it is possible to detect and alert the driver drowsiness temporarily or continuously by using our system.

• 방송공학회논문지
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• 제25권1호
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• pp.113-116
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• 2020

본 논문은 360도 동영상과 감각효과(Sensorial Effects)가 피실험자의 몰입도, 만족도, 실재감에 미치는 영향을 측정하기 위한 사용자 경험(Quality of Experience: QoE) 평가 실험 방법을 제안한다. 피실험자는 발향장치가 부착된 헤드 마운티드 디스플레이(Head Mounted Display: HMD)를 착용한 상태에서 감각효과가 동반된 360도 동영상을 경험한 후, 몰입도, 만족도, 실재감에 대한 설문에 응답한다. 응답 분석 결과 제안된 실험방법이 360도 VR 동영상과 감각효과에 대한 피실험자의 몰입도, 만족도, 실재감 등을 측정하기에 적합한 실험 방법임을 확인하였다. 반면, 360도 동영상을 시청하는 도중 비교 실험을 위한 회색 화면을 삽입하게 되면 몰입도와 실재감에 상당한 저하를 일으키는 것으로 파악되었다.