Research Article
Photoplethysmography Biometric Recognition Model Based on Sparse Softmax Vector and k-Nearest Neighbor
Table 2
Average recognition rates for each of
, and
.
| Dataset | Classifier | Average recognition rate (%) | | | |
| BIDMC | k-NN | 99.76 | 99.89 | 99.93 | RF | 95.77 | 95.07 | 92.41 | LDC | 91.74 | 84.73 | 76.49 | NB | 94.82 | 87.58 | 66.32 |
| MIMIC | k-NN | 93.69 | 96.93 | 99.78 | RF | 84.50 | 85.19 | 91.25 | LDC | 82.28 | 81.78 | 79.09 | NB | 95.28 | 95.19 | 89.94 |
| CapnoBase | k-NN | 99.54 | 99.72 | 99.95 | RF | 97.17 | 94.05 | 95.33 | LDC | 95.05 | 90.57 | 83.24 | NB | 98.91 | 97.96 | 93.98 |
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