Research Article
Task Transfer Learning for EEG Classification in Motor Imagery-Based BCI System
Table 1
The average classification accuracy and accuracy range of three algorithms on the target dataset.
| | Average accuracy (max-min) | Transfer CSP | CSP | PSD |
| Sub 1 | 70.13% (79.58%-66.25%) | 56.47% (70.83%-48.33%) | 49.95% (56.25%-40.42%) | Sub 2 | 85.18% (91.43%-69.05%) | 78.85% (92.38%-63.81%) | 56.35% (70.00%-39.05%) | Sub 3 | 95.93% (98.79%-81.52%) | 91.57% (99.39%-74.24%) | 74.32% (88.79%-46.06%) | Sub 4 | 62.16% (78.61%-42.50%) | 54.60% (69.72%-42.50%) | 49.31% (56.39%-42.22%) | Sub 5 | 96.29% (99.39%-84.85%) | 98.86% (100.00%-96.36%) | 74.83% (91.82%-51.52%) |
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