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- W3112350394 abstract "Reduced attentional capacity caused by increased mental workload (MWL) among drivers can cause traffic accidents. Against this background, a method for effective MWL evaluation is required. The proposed method is used to map multidimensional biological signals into a probabilistic space based on a mixed normal distribution model. The load state of the driver is evaluated, and the cognitive load can be determined from a posteriori probability. In the experiments reported here, tasks performed to examine tracking of the vehicle in front and N-Back evaluation helped to clarify the cognitive load of the three subjects, for whom multidimensional biosignal monitoring was performed. The results demonstrated a high correlation between evaluation and NASA-TLX values. In other experiments, increased evaluation values were observed in satnav operation. Accordingly, the proposed method is considered suitable for real-time driver MWL evaluation." @default.
- W3112350394 created "2020-12-21" @default.
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- W3112350394 date "2020-10-11" @default.
- W3112350394 modified "2023-10-02" @default.
- W3112350394 title "Real-time evaluation of driver cognitive loads based on multivariate biosignal analysis" @default.
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- W3112350394 doi "https://doi.org/10.1109/smc42975.2020.9282983" @default.
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