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P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
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P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
DOI:

06:09 min

September 08, 2023

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Chapters

  • 00:00Introduction
  • 00:27Installing and Configuring the CBLE Performance Estimation Graphical User Interface
  • 01:33Data Splitting, Model Training, and Accuracy Evaluation for BrainInvaders Dataset
  • 03:05Data Splitting and Model Training for BCI2000 Dataset
  • 04:28Results I: Analysis of BrainInvaders Dataset Using vCBLE as a Predictor of BCI Accuracy
  • 05:07Results II: Analysis of Michigan Dataset Using vCBLE as a Predictor of BCI Accuracy
  • 05:43Conclusion

Summary

자동 번역

This article presents a method for estimating same-day P300 speller Brain-Computer Interface (BCI) accuracy using a small testing dataset.

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