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분류기 기반 대기 시간 추정을 사용한 P300 기반 뇌-컴퓨터 인터페이스 맞춤법 검사기 성능 추정
1Brain and Body Sensing Lab, Mike Wiegers Department of Electrical & Computer Engineering,Kansas State University, 2Adaptive Cognitive Assessment Laboratory, Department of Physical Medicine and Rehabilitation,University of Michigan, Ann Arbor, 3Direct Brain Interface Laboratory, Department of Physical Medicine and Rehabilitation,University of Michigan, Ann Arbor, 4Direct Brain Interface Laboratory, Department of Biomedical Engineering,University of Michigan, Ann Arbor
章
- 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
