A real time alphabets sign language recognition system using hands tracking
Majority people can communicate through verbal language, but there are some people with limited abilities must use sign language with hand and finger movements to communicate even though not everyone is able to understand its meaning. The rapid development of information technology can assist in understanding and translating the gestures. This research aims to design and build a system gesture recognition of alphabet sign language that have the characteristic that fingers open by utilizing the Kinect camera. Recognition system built through two stages, i.e. the tracking process and the recognition process. Implementing the hands tracking method did the tracking process. The recognition process consists of two phases, i.e. the first process is to get input that will be used as reference data and data testers which is done by calculating the vectors and vector angle and, the second process is the gestures recognition process was done by calculating the Euclid distance. The system is able to recognize gestures alphabets of 69.79% of the average level of accuracy that is different in each case.
2016 International Conference on Computational Intelligence and Cybernetics