Name
Title | ||
|---|---|---|
Enhancing performance of P300-Speller under mental workload by incorporating dual-task data during classifier training. |
Abstract | ||
|---|---|---|
•Performance of P300-Speller always impaired once applied in practical situations due to the effect of mental workload. We aimed to mitigate this effect and enhance its performance.•We propose a new method of incorporating dual-task data during classifier training and compare its performance with speller-only data training condition. Two task types were studied.•The performances of P300-Speller including character recognition accuracies and round accuracies under dual-task conditions were significantly improved. Further analysis of ERPs supported the results.•The findings in this study confirmed the feasibility of building a universal training model which can significantly mitigate the effects of mental workload on P300-Speller in its practical applications. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.cmpb.2017.09.002 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Brain-computer interface,P300-Speller,Event-related potential,Mental workload,Training model | Training set,Character recognition,Workload,Computer science,Support vector machine,Event-related potential,Brain–computer interface,Speech recognition,Test data,Artificial intelligence,Classifier (linguistics),Machine learning | Journal |
Volume | Issue | ISSN |
152 | C | 0169-2607 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuqian Chen | 1 | 0 | 0.34 |
| yufeng ke | 2 | 1 | 7.78 |
| Guifang Meng | 3 | 0 | 0.34 |
| Jin Jiang | 4 | 0 | 2.37 |
| Hongzhi Qi | 5 | 49 | 20.61 |
| Xuejun Jiao | 6 | 0 | 2.03 |
| Minpeng Xu | 7 | 27 | 17.17 |
| Peng Zhou | 8 | 13 | 6.25 |
| Feng He | 9 | 16 | 9.45 |
| Dong Ming | 10 | 105 | 51.47 |