Deep Eigen Space Based ASL Recognition System.

Sign language is the art of communicating using hand gestures. The communication between an impaired person and the one who doesn't understand sign language could be easy using the computer as a tool. Inconsistent previous works in the field posed a need for more stable and effective model. We take an efficient step in order to tackle the problem of automatic fingerspelling recognition system using the concept that in order to efficiently perceive things, human brain alters some of the information. Moreover, the comparison between previous works and our model is mentioned systematically in this paper. Also, the model is capable to classify the real-time sign without dependency on environment. [ABSTRACT FROM AUTHOR]