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机构地区:[1]吉林大学汽车仿真与控制国家重点实验室,长春130022 [2]汽车噪声振动和安全技术国家重点实验室,重庆401120
出 处:《汽车工程》2015年第1期33-37,共5页Automotive Engineering
基 金:国家973计划前期研究专项(2012CB723802);高等学校博士学科点专项科研基金(20120061110028);吉林省科技引导计划(20130413058GH)资助
摘 要:为探索驾驶员精神状态与生理信号之间的关系,建立基于生理信号的认知负荷评价方法,在驾驶模拟器中设置了驾驶任务和语音交互任务这一典型的双任务模拟驾驶工况,记录实验过程中驾驶员的主观评分及心电、皮电和呼吸等生理信号,并运用统计方法分析生理参数在整个实验过程中的动态变化规律。结果表明,相对于单一驾驶任务,双任务工况下驾驶员感受的主观压力随着任务难度的增加而上升;心率变异性功率谱密度、皮电水平和呼吸频率等生理指标与驾驶员的认知状态具有较强的关联性,因而可以有效区分不同认知负荷的两种状态。For exploring the relationship between the physiological signals and mental state of driver, a cog-nitive workload evaluation method based on physiological signals is established. A dual-task simulated driving condi-tion with both driving and voice interaction tasks is set on a driving simulator with the subjective ratings as well as the physiological signals of electrocardiogram, skin conductance and respiration of driver recorded during experi-ment, and the dynamic changing law of physiological parameters is analyzed with statistical method. The results in-dicate that compared with single driving task, the subjective pressure driver feels in dual task condition rises with the increase of task difficulty. Physiological indicators including heart rate variability, skin conductance level and respiratory frequency of driver have strong correlation with his cognitive state, and hence can effectively distinguish two states with different cognitive workloads.
分 类 号:U491.254[交通运输工程—交通运输规划与管理]
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