Jin, Jing and Zhang, Yu and Wang, Xingyu and Daly, Ian and Cichocki, Andrzej (2014) Decreasing the interference of visual-based P300 BCI using facial expression changes. In: 2014 11th World Congress on Intelligent Control and Automation (WCICA), 2014-06-29 - 2014-07-04, Shenyang, China.
Jin, Jing and Zhang, Yu and Wang, Xingyu and Daly, Ian and Cichocki, Andrzej (2014) Decreasing the interference of visual-based P300 BCI using facial expression changes. In: 2014 11th World Congress on Intelligent Control and Automation (WCICA), 2014-06-29 - 2014-07-04, Shenyang, China.
Jin, Jing and Zhang, Yu and Wang, Xingyu and Daly, Ian and Cichocki, Andrzej (2014) Decreasing the interference of visual-based P300 BCI using facial expression changes. In: 2014 11th World Congress on Intelligent Control and Automation (WCICA), 2014-06-29 - 2014-07-04, Shenyang, China.
Abstract
Interferences from the spatially adjacent non-target stimuli evoke ERPs during non-target sub-trials and lead to false positives. This phenomenon is commonly seen in visual attention based BCIs and affects the performance of BCI system. Although, users or subjects tried to focus on the target stimulus, they still could not help being affected by conspicuous changes of the stimuli (flashes or presenting images) which were adjacent to the target stimulus. In view of this case, the aim of this study is to reduce the adjacent interference using new stimulus presentation pattern based on facial expression changes. Positive facial expressions can be changed to negative facial expressions by minor changes to the original facial image. Although the changes are minor, the contrast will be big enough to evoke strong ERPs. In this paper, two different conditions (Pattern_1, Pattern_2) were used to compare across objective measures such as classification accuracy and information transfer rate as well as subjective measures. Pattern_1 was a “flash-only” pattern and Pattern_2 was a facial expression change of a dummy face. In the facial expression change patterns, the background is a positive facial expression and the stimulus is a negative facial expression. The results showed that the interferences from adjacent stimuli could be reduced significantly (P<;0.05) by using the facial expression change patterns. The online performance of the BCI system using the facial expression change patterns was significantly better than that using the “flash-only” patterns in terms of classification accuracy (p<;0.01), bit rate (p<;0.01), and practical bit rate (p<;0.01). Subjects reported that the annoyance and fatigue could be significantly decreased (p<;0.05) using the new stimulus presentation pattern presented in this paper.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: Proceeding of the 11th World Congress on Intelligent Control and Automation |
Uncontrolled Keywords: | Brain computer interface; face expression change; P300 |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 27 May 2021 12:22 |
Last Modified: | 07 Aug 2024 19:23 |
URI: | http://repository.essex.ac.uk/id/eprint/25462 |