Abstract
In order to evaluate the value of mental fatigue, a method for assessing the intensity of mental fatigue was supposed to obtain from the physiological signals. 30 subjects were selected to participate in the experiment process. The questionnaire survey was used to ensure that the participants were all in a non-fatigue state before the test. 5 min, 10 min, and 15 min of high-intensity mental work was used to control the fatigue level of the participants, while the man-machine-environment system was used to obtain the participants’ electrocardiogram (ECG) signals, electromyography (EMG) signals, photoplethysmography (PPG) signals, and respiration (RESP) signals. SPSS 26 was used for peak amplitude analysis. The results indicate that the mean peak amplitude of RESP is significantly affected (P = 0.017) by the time of mental work. And it has a non-linear correlation with mental work time (R2 = 1). The mean peak amplitude of EMG is also affected, but it is not statistically significant at the standard level of 0.05. The mean peak amplitudes of ECG and PPG are less affected by the mental work. The peak amplitude of the RESP signal can be used to evaluate the level of mental fatigue so that the probability of accidents caused by mental fatigue could be reduced.
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Sun, G., Meng, Y. (2020). Assessment of Mental Fatigue on Physiological Signals. In: Stephanidis, C., Antona, M. (eds) HCI International 2020 - Posters. HCII 2020. Communications in Computer and Information Science, vol 1224. Springer, Cham. https://doi.org/10.1007/978-3-030-50726-8_52
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