Detection of Driver Workload Using Wrist-Worn Wearable Sensors: A Feasibility Study
Detection of Driver Workload Using Wrist-Worn Wearable Sensors: A Feasibility Study
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使用腕戴式可穿戴传感器检测驾驶员工作负荷：可行性研究
DOI：
10.1109/smc42975.2020.9282860
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Hirotaka Takahashi
中科院分区：
文献类型：
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作者：
Ryoto Tanaka;Takuma Akiduki;Hirotaka Takahashi
近年来，驾驶员的延迟识别导致了许多交通事故。认知负荷降低了意识，并延迟了驾驶员对周围环境的注意力。传统上，驾驶员的认知工作负荷的程度，即驾驶工作负荷，是根据方向盘的转向模式来估计的。与传统方法相比，直接测量操作车辆的手部运动可能会更容易、更准确地检测由驾驶工作量引起的微小变化。因此，我们调查的驾驶员的转向操作和手部动作的认知负荷的影响，并验证我们的方法的适用性驾驶工作量估计。手部运动是指手操作方向盘的行为。从手的加速度，我们得出一个指数的驾驶工作量。所提出的方法进行了实验评估的参与者进行双重任务。该方法的估计精度至少与传统的转向熵方法相匹配。
In recent years, driver's delayed recognition has caused many traffic accidents. Cognitive workload decreases awareness and delays the driver's attention on the surrounding environment. Conventionally, the degree of cognitive workload on a driver, namely, the driving workload, is estimated from the steering pattern of the steering wheel. Direct measurements of the hand motions operating the vehicle might more easily and accurately detect the small changes caused by driving workload than conventional methods. Therefore, we investigate the effect of cognitive workload on the steering operation and hand motions of drivers, and verify the applicability of our approach to driving-workload estimation. The hand motions refers to the behavior of the hands operating the steering wheel. From the acceleration of the hands, we derive an index of the driving workload. The proposed method was experimentally evaluated on seven participants performing a dual task. The estimation accuracy of the proposed method at least matched that of the conventional steering-entropy method.
听觉稳态反应的相位一致性反映了修改后的 N-back 任务中的认知工作量
DOI：
--
发表时间：
2015
期刊：
Neurosciences research
影响因子：
--
作者：
Y. Yokota;Y. Naruse
通讯作者：
Y. Naruse