Estimation of Mental Workload during Motorcycle Operation

AbstractIn this paper, we propose a method of estimating the mental workload (MWL) of a motorcycle rider through the application of machine learning methods. The eye movement parameters of the motorcycle rider are measured under two run objectives, the one leads to a high MWL and the other one leads to a low MWL. The parameters are saccade duration, eye fixation (short stop), tracking frequency, saccade amplitude, and most frequency eye movement velocity. They are taken as explanatory variables for a discriminant function. By applying machine learning methods, we find that we can determine rider's MWL under preset running conditions with a high accuracy (≥80%)

Supplemental Material, DS1_TPX_10.1177_0192623318765392 - Pathological and Clinical Pathological Changes Induced by Four-week, Repeated-dose, Oral Administration of the Wood Preservative Chromated Copper Arsenate in Wistar Rats

<p>Supplemental Material, DS1_TPX_10.1177_0192623318765392 for Pathological and Clinical Pathological Changes Induced by Four-week, Repeated-dose, Oral Administration of the Wood Preservative Chromated Copper Arsenate in Wistar Rats by Naofumi Takahashi, Toshinori Yoshida, Sayuri Kojima, Satoru Yamaguchi, Ryoichi Ohtsuka, Makio Takeda, Tadashi Kosaka, and Takanori Harada in Toxicologic Pathology</p

Supplemental Material, TS1_TPX_10.1177_0192623318765392 - Pathological and Clinical Pathological Changes Induced by Four-week, Repeated-dose, Oral Administration of the Wood Preservative Chromated Copper Arsenate in Wistar Rats

<p>Supplemental Material, TS1_TPX_10.1177_0192623318765392 for Pathological and Clinical Pathological Changes Induced by Four-week, Repeated-dose, Oral Administration of the Wood Preservative Chromated Copper Arsenate in Wistar Rats by Naofumi Takahashi, Toshinori Yoshida, Sayuri Kojima, Satoru Yamaguchi, Ryoichi Ohtsuka, Makio Takeda, Tadashi Kosaka, and Takanori Harada in Toxicologic Pathology</p