著者

小川 剛史 佐藤 博則 狩川 大輔 高橋 信

出版者

ヒューマンインタフェース学会

雑誌

ヒューマンインタフェース学会論文誌 (ISSN:13447262)

巻号頁・発行日

vol.19, no.4, pp.343-354, 2017

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The human-centered automation principle, saying that the human should have the final authority over the automation, has been regarded as the essential design requirement of automated systems. However, the reliability of human performance can be decreased by the effects of time pressure, high workload, and so on. Therefore, adaptive automation systems, which are characterized as the dynamic function allocation between the human and the automation, are expected. In order to realize such systems, the estimation of operators' workload are necessary. The present research, therefore, has developed a workload estimation method using the physiological data of an operator. A wearable sensing device called JINS MEME was introduced to obtain operators' electrooculography (EOG), acceleration, and gyro sensor data while they handled a complex simulation task provided by Smart Grid Simulator. A machine learning method, Support Vector Machine, has successfully identified two types of categories of operators' workload conditions, "High" and "Acceptable", over 90% accuracy using 10 parameters based on JINS MEME outputs. In addition, based on the detailed analysis of individual differences including each parameter, the effective utilization method of machine learning in workload estimation for adaptive automation has been discussed.

著者

佐藤 博則 山下 進介 宇津野 秀夫 松久 寛 山田 啓介 澤田 勝利

出版者

一般社団法人 日本機械学会

雑誌

日本機械学会論文集C編 (ISSN:18848354)

巻号頁・発行日

vol.77, no.775, pp.989-1003, 2011 (Released:2011-03-25)

参考文献数

7

被引用文献数

2 2

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Life style related diseases such as hypertension and diabetes promote arteriosclerosis which causes circulatory diseases. It is important to evaluate arterial condition for prevention of circulatory diseases. The pulse wave velocity method has become familiar as a vascular test because it is easy and non-invasively. However, the accuracy of the method seems not to be high because it just compares two points ignoring the frequency dependence and reflection waves from peripheral vessels. In this study theory of pulse wave propagation considering such effects was formulated. A new method to identify the reflection ratio from peripheral vessels and pulse wave velocity was proposed. This method was verified by experiment using a silicon tube and applied to measure the pulse wave propagation of human arm as a case study. The results showed that this method has possibility to apply to measure the pulse wave propagation of human pulse wave.