TY - GEN
T1 - Attention and Memory Training System Based on Neural Feedback
AU - Li, Xiu Jun
AU - Tang, Li Min
AU - Zhang, Zhi Lin
AU - Wu, Jinglong
AU - Li, Qi
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Cognitive ability
KW - Event-related potential
KW - Spelling paradigm
KW - brain-computer interface
UR - http://www.scopus.com/inward/record.url?scp=85135392614&partnerID=8YFLogxK
U2 - 10.1109/CVIDLICCEA56201.2022.9824137
DO - 10.1109/CVIDLICCEA56201.2022.9824137
M3 - Conference contribution
AN - SCOPUS:85135392614
T3 - 2022 3rd International Conference on Computer Vision, Image and Deep Learning and International Conference on Computer Engineering and Applications, CVIDL and ICCEA 2022
SP - 794
EP - 798
BT - 2022 3rd International Conference on Computer Vision, Image and Deep Learning and International Conference on Computer Engineering and Applications, CVIDL and ICCEA 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Computer Vision, Image and Deep Learning and International Conference on Computer Engineering and Applications, CVIDL and ICCEA 2022
Y2 - 20 May 2022 through 22 May 2022
ER -