Research Article
Eye Movement Signal Classification for Developing Human-Computer Interface Using Electrooculogram
Table 4
Bit transfer rate of DTDNN using convolution features.
| S. no. | Sub. | Bit transfer rate | Maximum accuracy | Minimum accuracy | Mean accuracy | BTR accuracy |
| 1 | S1 | 93.64 | 86.36 | 90.41 | 80.53 | 2 | S2 | 93.72 | 85.56 | 90.49 | 80.69 | 3 | S3 | 93.74 | 86.36 | 90.40 | 80.51 | 4 | S4 | 92.74 | 86.36 | 90.58 | 80.87 | 5 | S5 | 93.64 | 85.45 | 90.32 | 80.36 | 6 | S6 | 93.64 | 85.56 | 90.13 | 79.98 | 7 | S7 | 93.64 | 85.45 | 90.59 | 80.89 | 8 | S8 | 93.64 | 86.36 | 90.49 | 80.69 | 9 | S9 | 93.64 | 85.45 | 90.34 | 80.39 | 10 | S10 | 93.64 | 86.36 | 90.23 | 80.18 | 11 | S11 | 94.55 | 85.56 | 90.47 | 80.65 | 12 | S12 | 94.55 | 88.18 | 91.76 | 83.24 | 13 | S13 | 94.55 | 86.36 | 90.63 | 80.97 | 14 | S14 | 94.55 | 85.45 | 90.86 | 81.42 | 15 | S15 | 93.64 | 86.36 | 90.50 | 80.71 | 16 | S16 | 94.55 | 85.55 | 90.59 | 80.89 | 17 | S17 | 93.64 | 86.36 | 90.54 | 80.79 | 18 | S18 | 93.64 | 86.36 | 90.59 | 80.89 | 19 | S19 | 93.64 | 85.45 | 90.58 | 80.87 | 20 | S20 | 94.55 | 86.36 | 90.73 | 81.16 |
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