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Relaxation Degree Analysis Using Frontal Electroencephalogram Under Virtual Reality Relaxation Scenes
Yue Zhang1, Lulu Zhang2, Haoqiang Hua1
1School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China.
Frontiers in Neuroscience
|October 11, 2021
Summary
Virtual reality (VR) relaxation therapy effectively reduces psychological burden. This study quantitatively assessed relaxation using electroencephalogram (EEG) data, achieving over 80% accuracy in a predictive model.
Area of Science:
- Psychology and Neuroscience
- Human-Computer Interaction
Background:
- Increasing social pressure contributes to psychological burden and depression.
- Virtual Reality (VR) offers high immersion and interactivity, making it suitable for psychological therapy.
- While VR relaxation therapy's effectiveness is known, quantitative assessment of the relaxation state (R-state) is less explored.
Purpose of the Study:
- To confirm the effectiveness of VR sightseeing relaxation scenes.
- To quantitatively assess the relaxation state (R-state) using subjective and objective measures.
- To develop and validate a predictive model for the R-state.
Main Methods:
- College students experienced VR sightseeing relaxation scenes.
- Subjective emotion scales and objective electroencephalogram (EEG) data were collected.
- EEG features (alpha wave energy ratio, gamma wave energy ratio, differential asymmetry) were analyzed.
- A stacked regression model (Random Forest, AdaBoost, GB, LightGBM, Linear Regression, SVM) was developed for R-state prediction.
- Leave-one-subject-out cross-validation was employed.
Main Results:
- Significant differences in EEG features were observed post-VR exposure.
- The developed R-state regression model achieved a mean accuracy of 81.46%.
- The model demonstrated the feasibility of quantitatively assessing relaxation states.
Conclusions:
- VR relaxation scenes are effective in promoting relaxation.
- The study provides a validated model for quantitative R-state assessment.
- Findings support VR relaxation therapy as a potential non-drug treatment for depression, with preliminary positive clinical results.
