A Brain-Computer Interface Based on Miniature-Event-Related Potentials Induced by Very Small Lateral Visual Stimuli

• Published in: IEEE transactions on biomedical engineering Vol. 65; no. 5; pp. 1166 - 1175
• Main Authors: Xu, Minpeng, Xiao, Xiaolin, Wang, Yijun, Qi, Hongzhi, Jung, Tzyy-Ping, Ming, Dong
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.05.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adult; Algorithms; asymmetric visual evoked potential (aVEP); Attention; Brain-computer interface (BCI); Brain-Computer Interfaces; Code Division Multiple Access; discriminative canonical pattern matching (DCPM); EEG; Electroencephalography; Electroencephalography - methods; Event-related potentials; Evoked Potentials, Visual - physiology; Eye; Fatigue; Female; Fovea; Human-computer interface; Humans; Information transfer; Interfaces; Internet; Male; Multiaccess communication; Neural engineering; Noise levels; Pattern matching; Photic Stimulation; Retina; Signal Processing, Computer-Assisted; Signs and symptoms; Sociology; space-code division multiple access (SCDMA); Visual discrimination; Visual evoked potentials; Visual stimuli; Visualization; Young Adult

Goal: Traditional visual brain-computer interfaces (BCIs) preferred to use large-size stimuli to attract the user's attention and elicit distinct electroencephalography (EEG) features. However, the visual stimuli are of no interest to the users as they just serve as the hidden codes behind the...