Title | ||
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Does Real-Time Feedback Improve User Performance in SSVEP-based Brain-Computer Interfaces? |
Abstract | ||
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Offline and online experiments are both widely used in SSVEP-based BCI research and development for different purposes. One of the major differences between offline and online experiments is the existence of real-time feedback to the user while they are using the interface. However, the role of feedback in SSVEP-based BCIs has not yet been well studied. This work focuses on understanding the effect of feedback in SSVEP-based BCIs and if there exists any relationship between offline and online BCI performance. An experiment was designed to compare directly the accuracies of the BCI with and without feedback for participants. Results showed that feedback can improve performance in a complex task, but no clear improvement was observed in a simple task. |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/EMBC48229.2022.9871535 | Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
DocType | Volume | ISSN |
Conference | 2022 | 2694-0604 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jing Mu | 1 | 0 | 1.01 |
Po-Chen Liu | 2 | 0 | 0.34 |
David B Grayden | 3 | 0 | 0.34 |
Ying Tan | 4 | 737 | 86.47 |
Denny Oetomo | 5 | 100 | 31.30 |