| Literature DB >> 28802427 |
Baisheng Nie1, Xin Huang2, Yang Chen3, Anjin Li2, Ruming Zhang3, Jinxin Huang2.
Abstract
Fatigue can lead to decreased work performance and poorer safety and health condition. Fatigue is ubiquitous in production and in life, while the research on it is mainly concentrated in the automotive driving, aircraft piloting and other fields, and it is insufficient to study on the fatigue of fixed-position staff. This paper puts forward a non-contact visual image method, which can monitor the extent of fatigue of fixed-position staff. Fatigue threshold used in judgment is obtained by processing the recorded data of visual images of the experimental subjects when fatiguing and by analyzing eye closure time, percentage of eyelid closure (PERCLOS) value, frequency and number of blinks. The results show that there is significant difference among the four indicators before and after experiment subjects undergo fatigue. The fatigue of experimental subjects is obvious when eye closure time is 3.5 s/min, PERCLOS value 6%, and blink frequency 0.4 times/s. This provides a reference for a wider range of detection of fatigue and a method for avoiding mistakes and accidents.Keywords: Fatigue; Image processing; PERCLOS
Mesh:
Year: 2017 PMID: 28802427 DOI: 10.1016/j.apergo.2017.05.010
Source DB: PubMed Journal: Appl Ergon ISSN: 0003-6870 Impact factor: 3.661