Application of Template Matching Algorithm for Dynamic Gesture Recognition of American Sign Language Finger Spelling and Hand Gesture

In this study the researchers developed a human computer interface system where the dynamic gestures on the American Sign Language can be recognized. This is another way of communicating by people who understands and do not understand American Sign Language. They proposed the application of template matching algorithm for the recognition of dynamic gestures where it is based on the number of templates per gesture, which must be taken by the user, to be trained and saved in the system. To be able to recognize the dynamic gestures three things must be considered. These are the number of templates required for the algorithm to be able to recognize the gestures, the factors in handling different hand orientation of other users, and the reliability of the system in terms of communication