Abstract
A method for the analysis of fatigue parameters has been rarely researched in VDT operation. Up to now, fatigue was evaluated by changing of biological information. If signals regarding fatigue are detected, it can be directly evaluated the extent of the fatigue itself. Thepurpose of this study proposed experiment and analysis method to extract parameters related to fatigue from the biological information during VDT operation using the Independent Component Analysis (ICA). At first, for make out a schedule of extracting signals related to fatigue, the schedule of experiment had confirmed by subjective symptom. After them, the experiments were included heavy loaded VDT operation. An experiment had five subjects. The measurement items were subjective symptom, surface skin temperature (forehead and apex nasi), heart rate, skin blood flow of forearm and respiratory rate. After the moving averages of waveshape were calculated, it was made to extract independent components by using the ICA. The results of the ICA suggest that the independent components increase according to accumulation of fatigue. Thus, the independent components would be a possible parameter of fatigue.