A Review of Adaptive Brain-Computer Interface Research

Brain-Computer Interface(BCI) establishes a direct communication pathway between the brain and external devices without relying on peripheral nerves and muscles. In recent years, great breakthroughs in recognition accuracy and system interaction rate have been made by this technology. However, the non stationary characteristics of ElectroEncephaloGram(EEG) signals are strong and the user's subjective state fluctuates greatly. Traditional BCI technology lacks adaptability to the dynamic changes of brain activity, so the control stability of the BCI system is affected and its intelligence development and application are limited. The adaptive BCI can dynamically adjust the evoked paradigm and update the recognition model in real time according to the current state of the brain, thereby enhancing the adaptability of the brain control system to non-stationary brain activities, improving its control accuracy and robustness, and achieving a more practical brain control system, which is highly meaningful to push the further development of BCI technology. The related research of adaptive BCI is reviewed and summarized in this paper, and an outlook of the future development direction of this technology is given.