Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography (EEG)-based visual BCIs, known for efficient speed and calibration ease, face limitations in continuous tasks due to discrete stimulus design and decoding methods. To achieve continuous control, we implemented a novel spatial encoding stimulus paradigm and devised a corresponding projection method to enable continuous modulation of decoded velocity. Subsequently, we conducted experiments involving 17 participants and achieved Fitt's ITR of 0.55 bps for the fixed tracking task and 0.37 bps for the random tracking task. The proposed BCI with a high Fitt's ITR was then integrated into two applications, including painting and gaming. In conclusion, this study proposed a visual BCI-based control method to go beyond discrete commands, allowing natural continuous control based on neural activity.

翻译：脑机接口提供了一种无需依赖物理运动即可与计算机交互的方式。基于非侵入式脑电图（EEG）的视觉脑机接口以高效速度和易校准性著称，但因离散刺激设计与解码方法，在连续任务中面临局限性。为实现连续控制，我们实施了一种新颖的空间编码刺激范式，并设计了相应的投影方法，使得解码速度的连续调制成为可能。随后，我们进行了包含17名参与者的实验，在固定追踪任务中达到了0.55 bps的菲茨信息传输率，在随机追踪任务中达到了0.37 bps。所提出的具有高菲茨信息传输率的脑机接口随后被集成到绘画和游戏两项应用中。总之，本研究提出了一种基于视觉脑机接口的控制方法，超越了离散指令，实现了基于神经活动的自然连续控制。