Original title: Visual tracking brain computer interface
Authors: Changxing Huang, Nanlin Shi, Yining Miao, Xiaogang Chen, Yijun Wang, Xiaorong Gao
In the world of brain-computer interfaces (BCIs), there’s a push to enable more natural interaction with computers. Traditional visual BCIs using EEG have been great but limited—they work in bursts rather than continuously. To change this, a new method emerges: a spatial encoding stimulus and a clever decoding approach. These additions allow for continuous control, like smoothly moving a cursor instead of jumping it around. Tests with 17 participants proved its efficiency, clocking in high-speed performance for fixed and random tasks. They even plugged this improved BCI into painting and gaming applications. The result? A step beyond discrete commands; it’s like giving the brain a more natural way to guide computers, making tasks like painting or gaming smoother and more intuitive. This study opens doors for more seamless brain-controlled interactions with technology.
Original article: https://arxiv.org/abs/2311.12592