NeuGaze: Reshaping the future BCI
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Abstract (arXiv)
Traditional brain-computer interfaces (BCIs), reliant on costly electroencephalography or invasive implants, struggle with complex human-computer interactions due to setup complexity and limited precision. We present NeuGaze, a novel webcam-based system that leverages eye gaze, head movements, and facial expressions to enable intuitive, real-time control using only a standard 30 Hz webcam, often pre-installed in laptops. Requiring minimal calibration, NeuGaze achieves performance comparable to conventional inputs, supporting precise cursor navigation, key triggering via an efficient skill wheel, and dynamic gaming interactions, such as defeating formidable opponents in first-person games. By harnessing preserved neck-up functionalities in motor-impaired individuals, NeuGaze eliminates the need for specialized hardware, offering a low-cost, accessible alternative to BCIs. This paradigm empowers diverse applications, from assistive technology to entertainment, redefining human-computer interaction for motor-impaired users. Project is at hrefhttps://github.com/NeuSpeech/NeuGazegithub.com/NeuSpeech/NeuGaze.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 26 references that are in the map. First posted on arXiv 21 Apr 2025.
Builds on
2 of 26 references.
References · 2
- 2019MediaPipe: A Framework for Building Perception Pipelinescited by 583
- 2022L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environmentscited by 65
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Citing papers per year: 2025: 1.
1 paper.