| Summary: | 碩士 === 國立交通大學 === 光電工程研究所 === 106 === Virtual reality (VR) is a popular display nowadays, and it is likely to become the future trend. However, most users suffer from cybersickness while using VR. This problem reduces the quality of VR experience and makes VR create a safety concern. Cybersickness becomes a critical problem of VR applications. Therefore, this study aimed to find an objective method to quantize cybersickness level using the bio-signals, including electroencephalogram (EEG) and electrocardiography (ECG). Comparing with the real time subjective cybersickness score, we found the change tendency and variation of bio-signals in the cybersickness condition to quantize the cybersickness level by the bio-signals.
These results demonstrated a higher level of cybersickness caused power of EEG gamma band (>31Hz) stronger and enhanced subjects’ heart rate as well. In addition, the P300 amplitude from event-related potential (ERP) waveform decreased after VR watching because cybersickness happened. There is a significant difference between sickness data and no sickness data (p<0.01) for three kinds of bio-signals. Therefore, the variations of these bio-signals could be an indicator to quantize people’s cybersickness level. What’s more, we scaled the gamma band and heart rate variation into three kinds of physical conditions to help us develop a warning system for VR devices in the future.
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