Multimodal EEG and Eye Tracking Feature Fusion Approaches for Attention Classification in Hybrid BCIs

Research article (Frontiers in Computer Science, 2022) · cited 33× · AI/ML
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Multimodal EEG and Eye Tracking Feature Fusion Approaches for Attention Classification in Hybrid BCIs

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Multimodal EEG and Eye Tracking Feature Fusion Approaches for Attention Classification in Hybrid BCIs is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multimodal EEG and Eye Tracking Feature Fusion Approaches for Attention Classification in Hybrid BCIs. Retrieved May 24, 2026, from https://4ort.xyz/entity/multimodal-eeg-and-eye-tracking-feature-fusion-approaches-for-attention-classification-in-hybrid-bcis
MLA “Multimodal EEG and Eye Tracking Feature Fusion Approaches for Attention Classification in Hybrid BCIs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multimodal-eeg-and-eye-tracking-feature-fusion-approaches-for-attention-classification-in-hybrid-bcis.
BibTeX @misc{4ortxyz_multimodal-eeg-and-eye-tracking-feature-fusion-approaches-for-attention-classification-in-hybrid-bcis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multimodal EEG and Eye Tracking Feature Fusion Approaches for Attention Classification in Hybrid BCIs}}, year = {2026}, url = {https://4ort.xyz/entity/multimodal-eeg-and-eye-tracking-feature-fusion-approaches-for-attention-classification-in-hybrid-bcis}, note = {Accessed: 2026-05-24}}
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