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Fig. 11 | BioMedical Engineering OnLine

Fig. 11

From: Automatic hand phantom map generation and detection using decomposition support vector machines

Fig. 11

Grand average accuracy using dense array. Grand average error rates and phantom sensation coverage ratios over a all 400 generated phantom maps and b five reported phantom map images and their corresponding transformed images. For \(2 \times 2\) majority pooling, \(\overline{E_{\text {MP}}}\) = 5.35% for generated phantom maps and \(\overline{E_{\text {MP}}}\) = 4.27% for reported phantom map images. The grand average accuracy is influenced both by the sampling methods and SVM algorithms used. For both generated and reported phantom maps, OVO-SVM produces the smallest error rate. Even though the absolute error rate (\(E_A\)) for reported phantom maps is higher than for the generated ones, the more critical metric (function error rate \(E_F\)) is still within an acceptable range

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