Attention and Memory Training System Based on Neural Feedback

Abstract

With the rapid development of the society, people’s cognitive ability is gradually declining under the pressure of study and work, those declining will bring a great impact on people’s daily life, work and study. Therefore, it has become a popular research field on the intervention of early declining cognitive ability. It has been proved that a brain-computer interface (BCI), as a new tool of neural feedback training, can improve the traditional neural feedback method’s efficiency. However, due to the weakness of EEG signals, the accuracy of character’s recognition in BCI system is still low, and the spelling paradigm is often dominated by the characters output, which makes it difficult for the subjects’ attention to continuously focus on the whole experiment process. In order to improve the recognition accuracy and effectively reduce subjects’ fatigue as well as increase the concentration of the participant, this study proposed a spelling paradigm that can more effectively stimulate the Event Related Potential (ERP) of the subject. In the end, a cognitive ability training system was designed for daily training. Through the system simulation and preliminary experiments, the average target recognition accuracy increased by 18.75% after the experiment, demonstrating the efficiency and effectiveness of the present cognitive ability training system.