Research Article
Classification of the Korean Sign Language Alphabet Using an Accelerometer with a Support Vector Machine
Table 1
Segmentation accuracies of the sign language alphabet gesture.
| Subject | Number of nondetected signs | Number of performed signs | Segmentation accuracy (%) |
| S1 | 4 | 620 | 99.35 | S2 | 2 | 620 | 99.68 | S3 | 0 | 620 | 100 | S4 | 1 | 620 | 99.84 | S5 | 15 | 620 | 97.58 | S6 | 26 | 620 | 95.81 | S7 | 12 | 620 | 98.06 | S8 | 2 | 620 | 99.68 | S9 | 12 | 620 | 98.06 | S10 | 0 | 620 | 100 | S11 | 23 | 620 | 96.29 | S12 | 4 | 620 | 99.35 | S13 | 2 | 620 | 99.68 | S14 | 2 | 620 | 99.68 | S15 | 0 | 620 | 100 | Average | 7 | 620 | 98.87 |
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