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Fatigue Characterization Multimodal Datasets for Stereo Vision in Mixed Reality
Yan Wu1,2,3, Chunguang Tao1, Qi Li4,5,6
1School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, 130022, China.
Scientific Data
|December 27, 2025
Summary
Prolonged use of head-mounted displays (HMDs) for mixed reality (MR) can cause visual fatigue. This study used EEG and physiological signals to identify fatigue, highlighting the need for public datasets.
Area of Science:
- Neuroscience
- Human-Computer Interaction
- Biomedical Engineering
Background:
- Head-mounted displays (HMDs) offer immersive mixed reality (MR) experiences.
- Prolonged stereoscopic content viewing in HMDs can induce visual fatigue.
- Understanding and quantifying this fatigue is crucial for user comfort and safety.
Purpose of the Study:
- To investigate stereo-visual fatigue induced by MR stimuli.
- To explore the utility of electroencephalography (EEG) and peripheral physiological signals in detecting visual fatigue.
- To create multimodal datasets for future research on MR-induced visual fatigue.
Main Methods:
- Recorded 24-channel EEG from 23 participants viewing MR stimuli.
- Collected electrocardiogram (ECG), electrodermal activity (EDA), SpO2, respiratory, and skin temperature data from 13 participants.
- Extracted physiological signal characteristics to form multimodal datasets.
Main Results:
- Multimodal datasets incorporating EEG and peripheral physiological signals demonstrated significant effectiveness in identifying visual fatigue.
- Experimental verification confirmed the ability of these combined datasets to detect fatigue states.
- The study successfully generated datasets for analyzing stereo-visual fatigue in MR.
Conclusions:
- Physiological signals, particularly when combined, are effective indicators of stereo-visual fatigue in MR environments.
- The developed multimodal datasets provide a valuable resource for further research.
- Publicly accessible datasets are essential for advancing the understanding and mitigation of visual fatigue in mixed reality.
