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[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© Springer Nature Switzerland AG 2019.Despite the steady decline in the number of train incidents in Indonesia, rail safety remains an important national issue. Sleepiness has been cited as a major contributing factor in previous rail accidents, and the ability to detect sleepiness while a machinist is performing his job is of importance. The present investigation aimed at determining if eye blink rate (EBR) could be used in determining the degree of sleepiness during train driving tasks. A group of 12 male subjects were asked to drive a train simulator for 4 h in the morning, with sleep durations of 2, 4, and 8 h were allotted the night before the experiment. The driving task was fairly monotonous, with one stop (train station) for every two hours. A second group was also asked to perform the same tasks, but the driving condition was more dynamic (train stopped every 20 min). A high definition camera was mounted in front of the subjects, and recorded the entire face of the subjects continuously throughout the experiment. Rates of eye blink were determined every 20 min, resulting in 12 data points throughout the experiment. Similarly, scores of Karolinska Sleepiness Scale (KSS) was used to assess perceived sleepiness. Results of this experiment demonstrated that frequency of eye blink tended to increase, but in somewhat inconsistent fashion. KSS scores, on the other hand, increased consistently throughout the experiment. It was concluded here that it was fairly difficult to assess sleepiness based merely on raw blink rate data.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Contributing factor,Driving conditions,Eye blink,High definition,Karolinska Sleepiness Scale,Number of trains,Sleepiness,Train drivings[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Eye blink rates,Karolinska Sleepiness Scale,Simulator,Sleepiness,Train driving[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1007/978-3-319-96074-6_27[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]