用面部热像图估计自主神经活动

S. Kawazura, N. Itakura, K. Mito, M. Uchida, Tota Mizuno, A. Nozawa, H. Asano
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引用次数: 6

摘要

本研究对利用面部热像图估计自主神经活动的技术进行了研究和开发。随着信息社会的发展,劳动者的心理负担越来越重。用MWL防止人为错误和健康危害是很重要的。关于MWL的研究活动,有热成像的方法。热像图可以用非接触式温度计轻松地拍摄,如热像仪。它可以记录车间或生活日志。但该方法在实验的各个过程中都需要测量时间序列数据。此外,如果受试者不在血压计的焦点上,则很难估计MWL。因此,测量环境是有限的。本研究提出了利用面部热像图估计自主神经活动的新方法。如果基于面部热像图的新方法能够高质量地估计出MWL,则可以在各种情况下使用。当受试者解决了心算问题时,就会拍下热像图。并用热图对该方法进行了分析。实验结果表明,该方法比以往的方法灵敏度更高。
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Estimation of the autonomic nerve activity with facial thermogram
In this study, a technique designed to estimate of the autonomic nerve activity with a facial thermogram has been conducted a research and development. Workers feel more mental work-load (: MWL) by advanced information society. Preventing human errors and health hazards with MWL is important. Research activities about MWL, there is the method using thermogram. Thermogram can be taken by non-contact thermometer easily such as a thermography. It can take in the shop floor or life log. But the method needs to measures time-series data at all process of experiment. In addition, if a subject is out of focus of thrmography, it is difficult to estimate MWL. Therefore, measurement environment is limited. In this study, new method are proposed to estimate of the autonomic nerve activity with facial thermogram. If new method with facial thermogram can estimate MWL to high quality, it can use in various situation. Thermograms was taken when a subject solved the issue of a mental arithmetic calculation. And the proposed method has been analyzed by thermograms. As a result of this experiment, proposed method is more sensitive than past technique.
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