Paper Info
Title
Effects Of Stimulus Position On The Classification Of Miniature Asymmetric Veps For Brain-Computer Interfaces
Abstract
The speed of visual brain-computer interfaces (BCIs) has been greatly improved in recent years. However, traditional visual BCI paradigm requires users to directly gaze at the intensive flickering items, which would cause severe problems in practical applications, such as visual fatigue and excessive visual resources consumption. A promising solution is to use small visual stimuli outside the central visual area to encode instructions, which had been demonstrated to be effective in our previous study. This study aims to further investigate the effects of stimulus position on the classification of miniature asymmetric visual evoked potentials (aVEPs). Small peripheral visual stimuli were designed with different eccentricities (1 degrees and 2 degrees) and directions (0 degrees, 45 degrees, 90 degrees, 135 degrees, 180 degrees, -135 degrees, -90 degrees, and -45 degrees) to induce different kinds of miniature aVEPs. Five subjects participated in this experiment. Discriminative canonical pattern matching (DCPM) was used to classify all possible pairs of miniature aVEPs. Study results showed that visual stimuli with less eccentricity could induce more distinct miniature aVEPs. The highest single-trial accuracy achieved was about 83% for the binary classifications of miniature aVEPs pairs corresponding to (1 degrees, -135 degrees) Vs (1 degrees, 0 degrees), (1 degrees, -45 degrees) Vs (1 degrees, -135 degrees) and (1 degrees, -45 degrees) Vs (1 degrees, 180 degrees). This finding is very important for the design and development of the miniature aVEPs-based BCIs.
Year
DOI
Venue
2019
10.1109/EMBC.2019.8857789
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Flicker,Computer vision,Gaze,Pattern recognition,Computer science,Visualization,Brain–computer interface,Artificial intelligence,Stimulus (physiology),Discriminative model,Pattern matching,Visual perception
Conference
2019
ISSN
Citations 
PageRank 
1557-170X
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Minpeng Xu12717.17
Xiaoyu Zhou200.34
Xiaolin Xiao3366.57
Yijun Wang430846.68
Tzyy-Ping Jung51410202.52
Dong Ming610551.47