Table 3.
Classification performance of multiclass SVM as well as deep learning model on the ISL words in the cropped set.
| ISL Word | SVM Classifier | Deep Learning | ||||
|---|---|---|---|---|---|---|
| Precision (%) | Recall (%) | F-score (%) | Precision (%) | Recall (%) | F-score (%) | |
| Accident | 96.55 | 93.33 | 94.92 | 100 | 100 | 100 |
| Call | 96.15 | 83.33 | 89.29 | 90.32 | 93.33 | 91.80 |
| Doctor | 90.63 | 96.67 | 93.55 | 93.75 | 100 | 96.77 |
| Help | 96.55 | 93.33 | 94.92 | 100 | 93.33 | 96.55 |
| Hot | 92.59 | 83.33 | 87.72 | 100 | 93.33 | 96.55 |
| Lose | 96.30 | 86.67 | 91.23 | 96.67 | 96.67 | 96.67 |
| Pain | 93.10 | 90 | 91.53 | 96.55 | 93.33 | 94.92 |
| Thief | 68.29 | 93.33 | 78.87 | 93.75 | 100 | 96.77 |