Research Article
Eye Movement Signal Classification for Developing Human-Computer Interface Using Electrooculogram
Table 3
Bit transfer rate of ERNN using convolution features.
| S. no. | Sub. | Bit transfer rate | Maximum accuracy | Minimum accuracy | Mean accuracy | BTR accuracy |
| 1 | S1 | 93.64 | 83.64 | 90.73 | 81.17 | 2 | S2 | 93.64 | 87.27 | 90.86 | 81.43 | 3 | S3 | 94.55 | 85.45 | 90.94 | 81.59 | 4 | S4 | 93.64 | 86.36 | 90.90 | 81.51 | 5 | S5 | 93.78 | 85.45 | 90.58 | 80.87 | 6 | S6 | 93.64 | 86.36 | 90.59 | 80.89 | 7 | S7 | 93.64 | 85.56 | 90.77 | 81.25 | 8 | S8 | 93.64 | 86.36 | 90.90 | 81.51 | 9 | S9 | 94.55 | 85.45 | 90.91 | 81.53 | 10 | S10 | 93.64 | 84.55 | 90.31 | 80.34 | 11 | S11 | 93.64 | 86.36 | 90.58 | 80.87 | 12 | S12 | 95.55 | 88.18 | 91.91 | 83.55 | 13 | S13 | 93.64 | 86.36 | 90.90 | 81.51 | 14 | S14 | 93.64 | 86.36 | 91.12 | 81.95 | 15 | S15 | 94.55 | 87.09 | 90.71 | 81.13 | 16 | S16 | 94.55 | 85.56 | 90.77 | 81.25 | 17 | S17 | 93.64 | 86.36 | 90.68 | 81.07 | 18 | S18 | 93.64 | 85.56 | 90.77 | 81.25 | 19 | S19 | 93.64 | 87.27 | 90.82 | 81.35 | 20 | S20 | 94.55 | 86.36 | 90.64 | 80.99 |
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