US20250053238
2025-02-13
Physics
G06F3/015
The patent application describes an advanced brain-computer interface (BCI) system that combines real-time eye-movement tracking with brain activity monitoring. This integration aims to enhance human-machine interaction by making it faster and more accurate. The BCI system is designed to be hardware agnostic, meaning it can operate across various hardware platforms, and utilizes online analysis of neural signals to enable users to control machines efficiently.
BCIs traditionally provide communication pathways between a user's brain and external devices, often serving as assistive technologies for individuals with severe physical disabilities. These systems interpret brain signals to allow users to operate machines without traditional input methods like keyboards or mice. While existing BCIs have mainly been used for demonstration or training, there is potential for broader applications, such as controlling wheelchairs or neuroprostheses, and even interacting with games or web browsers.
The proposed hybrid BCI system comprises several core components: a stimulus display interface, eye-tracking hardware for focus detection, neural recording devices for brain activity monitoring, and an apparatus for executing control commands. These elements work together to provide a seamless user experience, enabling precise pointing and action control similar to conventional input devices like mice and keyboards. The system supports various actions including scrolling, zooming, and virtual keyboard navigation.
Eye-tracking devices pinpoint the user's gaze on the interface, while neural signals are recorded using electrodes that capture brain activity. These signals are processed to generate BCI commands that translate into user actions. The system's user interface is designed to facilitate intuitive interaction by offering features like menu navigation and object manipulation. By integrating these technologies, the hybrid BCI system aims to deliver high-speed and accurate control in real-world environments.
This hybrid BCI system addresses the need for improved interaction speeds and reduced error rates in BCIs. It offers a natural, intuitive process for users to select actions, making it suitable for both patients requiring assistive technology and the general public seeking enhanced computer interaction methods. By minimizing cognitive load and simplifying the user interface, this system has the potential to revolutionize how users interact with machines across various applications.