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arXiv AI By Gowtham Reddy N, KongFatt Wong-Lin, Yogesh Kumar Meena

A Hybrid Gaze-Motor Imagery BCI Framework for Effective Decision Communication

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The study presents a hybrid brain‑computer interface that combines eye‑tracking and motor‑imagery (MI) to improve decision communication. By using visual fixation to stabilize neural responses, the authors developed an asynchronous paradigm that first selects a command via eye‑tracking and then confirms it with MI, reducing the number of operational steps. Experiments with 15 participants showed that this hybrid approach achieves up to 100% accuracy and outperforms conventional MI, even with limited EEG channels.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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