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홍원기(Wongi Hong),이원섭(Wonsup Lee),정기효(Kihyo Jung),이백희(Baekhee Lee),박장운(Jangwoon Park),박수완(Suwan Park),박윤숙(Yunsuk Park),손준우(Joonwoo Son),박세권(Seikwon Park),유희천(HeecheonYou) 대한산업공학회 2014 대한산업공학회지 Vol.40 No.3
High cognitive workload decreases a driver’s ability of judgement and response in traffic situation and could result in a traffic accident. Electrocardiography (ECG) has been used for evaluation of drivers’ cognitive workload; however, individual differences in ECG response corresponding to cognitive workload have not been fully considered. The present study developed an evaluation method of individual driver’s cognitive workload based on ECG data, and evaluated its usefulness through an experiment in a driving simulator. The evaluation method developed by the present study determined the optimal ECG evaluation condition for individual participant by analysis of area under the receiver operating characteristic curve (AUC) for various conditions (total number of conditions = 144) in terms of four aspects (ECG measure, window span, update rate, and workload level). AUC analysis on the various conditions showed that the optimal ECG evaluation condition for each participant was significantly different. In addition, the optimal ECG evaluation condition could accurately detect changes in cognitive workload for 47% of the total participants (n = 15). The evaluation method proposed in the present study can be utilized in the evaluation of individual driver’s cognitive workload for an intelligent vehicle.
시뮬레이터 상에서 운전 부주의 추정을 위한 실시간 모니터링 시스템의 구현
박수완(Suwan Park),박윤숙(Yunsuk Park),이태영(Taeyoung Lee),손준우(Joonwoo Son) 한국자동차공학회 2010 한국자동차공학회 학술대회 및 전시회 Vol.2010 No.11
There has been recent interest in an integrated approach to driver safety which focuses on the overlapping and interacting area of the role of driver, vehicle and road environment in driving safety. These studies require various types of driving tests and analysis of driver’s behavior. They need to ensure safety in a research process and to monitor the driver state and surrounding environment by real-time synchronization. To solve these needs, this paper demonstrates an implementation of a real-time monitoring system for estimating driver distraction in a car simulator. Our system alleviates the problem of accidents that may occur in a experiment due to car simulator and enables to make the case for an integrated approach in driver safety due to the synchronized data collection. And it also makes more in-depth study possible for driving distraction by including a driving distraction causing module which generates a cognitive workload and a visual workload. This paper shows collected data when a participant drove and performed a secondary task of a cognitive and visual workload in our system. The results are fairly consistent with previous studies.