Research Article
[Retracted] 3D Input Convolutional Neural Network for SSVEP Classification in Design of Brain Computer Interface for Patient User
Table 3
Online experiment result with using 3D input CNN method.
| | Classification accuracy (%) | Complete time (min) | ITR (bit/min) |
| S-1 | 92.50 | 1.86 | 55.07 | S-2 | 92.50 | 1.81 | 56.59 | S-3 | 95.00 | 1.86 | 58.79 | S-4 | 97.50 | 1.71 | 68.45 | S-5 | 90.00 | 1.91 | 50.28 | S-6 | 95.00 | 1.73 | 63.20 | Average | 93.75 | 1.81 | 58.35 |
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