Abstract
In order to study the relationship between visual fatigue and respiratory characteristic parameters caused by 3D display, 30 subjects were invited to watch 3D videos for 90 min. A questionnaire survey was performed in the initial state and every 15 min after watching the video to obtain the subjective data, and 7 groups of data were collected. The characteristic parameters of breathing were acquired synchronously using breathing sensors. The data was analyzed using SPSS. The results show that subjective fatigue increases with the increase of time spent watching 3D videos, and subjective visual fatigue increases extremely significantly from 45 to 60 min. The mean of power, index of the respiratory frequency domain, and the corresponding standard deviation show a highly significant linear negative correlation with time and the consistency with subjective fatigue score reached 0.970, indicating that the power value is effective for visual fatigue assessment. Therefore, based on the power mean or standard deviation of the breathing signal, the time is used to estimate or evaluate the time of watching 3D display.
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Acknowledgements
This work is supported by National Key R&D Program of China (2017YFF0206604) and General Project of China University of Labor Relations (20XYJS020).
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Sun, G. (2020). Research on Respiratory Signals for Visual Fatigue Caused by 3D Display. In: Long, S., Dhillon, B.S. (eds) Man-Machine-Environment System Engineering. MMESE 2020. Lecture Notes in Electrical Engineering, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-15-6978-4_76
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DOI: https://doi.org/10.1007/978-981-15-6978-4_76
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