In order to monitor the driving fatigue of forklift drivers in automobile enterprises and improve the driving operations of forklift drivers, a third-class forklift driver in the automobile assembly shop of a certain company was used as the research object to conduct a driving fatigue monitoring study. The subjective monitoring uses the questionnaire of basic conditions of forklift drivers and the questionnaire of subjective feelings of forklift drivers’ operating fatigue to determine the causes of fatigue, symptoms and changes in symptoms of forklift drivers. Objective monitoring uses an EEG signal analysis method to monitor and record the EEG signals of the forklift driver during each working period, and use EEGLAB to analyze the driver’s δ wave spectrum chart. Taking the unloading driver as an example, the driving fatigue time and fatigue degree are analyzed and judged from two perspectives: subjective and objective. The results show that the driving fatigue of the forklift driver is obvious, and it is difficult to recover effectively. The forklift driver is in a state of severe fatigue while driving.
Research on Fatigue Monitoring of Forklift Driver Driving in an Automobile Enterprise
Lect. Notes Electrical Eng.
International Conference on Man-Machine-Environment System Engineering ; 2020 ; Zhengzhou, China October 24, 2020 - October 26, 2020
2020-09-29
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Forklift driver , Driving operation , Fatigue state , Subjective and objective monitoring Engineering , Robotics and Automation , User Interfaces and Human Computer Interaction , Human Physiology , Engineering Design , Aerospace Technology and Astronautics , Quality Control, Reliability, Safety and Risk , Computer Science
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