Character input by EEGs using visual feedback based on the evaluation score inside the computer
The P300 is widely used in character input by EEG. Generally, a computer algorithm that accurately detects P300 is used to identify a target character with high accuracy. However, there are no reports of approaches that cause subjects to generate prominent P300 for easy detection. We use feedback th...
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| Published in | Transactions of Japanese Society for Medical and Biological Engineering Vol. Annual59; no. Abstract; p. 487 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
Japanese Society for Medical and Biological Engineering
2021
公益社団法人 日本生体医工学会 |
| Online Access | Get full text |
| ISSN | 1347-443X 1881-4379 |
| DOI | 10.11239/jsmbe.Annual59.487 |
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| Summary: | The P300 is widely used in character input by EEG. Generally, a computer algorithm that accurately detects P300 is used to identify a target character with high accuracy. However, there are no reports of approaches that cause subjects to generate prominent P300 for easy detection. We use feedback that informs the subject of the evaluation score inside the computer in real time. Therefore, when the score of the target character is high, the subject tries to maintain the state, and when the score is low, the subject pays more attention to the stimulus to raise the score, thereby promoting the prominent appearance of P300. In this study, the font size of the presented characters was changed according to the score, and the accuracy was evaluated with and without feedback. As for the results, 7 out of 10 subjects gave better results with feedback. |
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| ISSN: | 1347-443X 1881-4379 |
| DOI: | 10.11239/jsmbe.Annual59.487 |