| Procedure DTW_Most_Matching_Learning (); |
| Initialize the values of thresholds and to be constants; |
| /*DTW recognition process*/ |
| Perform DTW template matching; |
| Record DTW-distances of recognition results of Top-1 to Top-10; |
| /* Decide if starting learning by the unsupervised method */ |
| If (DTW score of Top-1 < Threshold ) then |
| /* Start learning */ |
| For each result label of Top- ( to 10) |
| Search the same label as Top-1 among Top 2–10; |
| End For |
| If (Numbers of the same labels as that of Top-1 > ) then |
| Convert the label of Top-1 to the learning index ; |
| If ( setting == TRUE) then |
| For each |
| /* is the number of the DTW-distance with */ |
| Search the worst (the largest) DTW-distance; |
| End For |
| Return the template item with the worst DTW-distance; |
| /* Removal Process */ |
| Remove the template item with the worst DTW-score in the database; |
| /* Process of learning data */ |
| Feature extraction; |
| If (Removal process finished == TRUE) then |
| Add into the referenced pattern index; |
| For each frame ( to total frames of the learning data) |
| Add featurest into reference templates; |
| End For |
| End If |
| End If |
| Else |
| /* Improper data and no learning */ |
| End If |
| Else |
| /* End of learning process (No learning) */ |
| End If |
