2017 : EEG-based Mental Fatigue Detection using Time Domain Features Extraction

Prof.Dr.Ir. Mauridhi Hery Purnomo M.Eng.
Eko Pramunanto S.T., M.T.
Dr. Adhi Dharma Wibawa ST., MT.


Abstract

Mental fatigue has been studied by many researchers in the past decades. Not only it has an important role in maintaining the worker’s performance during working, but also it is a more important issue in the safety of many human’s life in the workplace. There have been some reports that mental fatigue had caused many incidents and accidents in the workplace, especially when a profession needs high concentration of mind and focus such as pilot, surgeon, workers in nuclear plant or high voltage power generator plant. A small error due to less focus or less concentration may yield a big disaster. Studying and understanding its behaviour and the process of mental fatigue initiation can be a good tool to avoid such bad things to happen in the future. Since mental fatigue is a physiological signal, a realtime system that can measure the physiological data need to be implemented in order to explore and build a better understanding of mental fatigue. \nEEG is one of the realtime system that can measure and monitor the human physiological information, including the mental fatigue. EEG is a brain wave that tells what ever happen in the brain due to many activities like thinking, reading, imaginizing, moving, reflecting etc. By measuring the EEG signal of two groups of people, fatigue and non-fatigue group, and comparing both patterns, a new insight may then be obtained to avoid the big accident to happen in the workplace. This study can also be used as a tool or a system that can scan and give further suggestion to some professions when they have a mental fatigue condition for example entertaining them or changing their mood so that the fatigue then can be decreased and the performance rises again.