| Title |
Spatial Perception and Multi-source Information Fusion Technology for Immersive Experience Based on the Fusion of Intelligent Wearable Devices and Brain-computer Interfaces |
| Authors |
(Jianfeng Huang) ; (Qiang Wan) |
| DOI |
https://doi.org/10.5573/IEIESPC.2026.15.1.123 |
| Keywords |
Artificial intelligence; HCI; Computer-aided analysis; Bioinformatics |
| Abstract |
To address the issue of user emotion and movement recognition in the context of immersive experiences, a multi-source information fusion method based on intelligent wearable devices and brain-computer interface technology is proposed as a potential solution. Its main goal is to further enhance the user’s sense of the immersive experience space, strengthen the collection of the user’s physiological indicators and action information, and then improve the identification accuracy of emotional state and action performance. The experimental results showed that the proposed method could recognize the user’s emotional state with 97.3% accuracy, and the movement recognition with over 90% accuracy. The prediction accuracy of the improved multi-source information fusion technique was 0.98. The results reveal that the method can effectively capture the physiological response of users and realize efficient emotion and movement recognition. It provides a new solution for enhancing user experience, and has important application value for virtual reality, game entertainment, sports rehabilitation and other fields. |