Experimental Research on SCHMM for Sign Language Recognition
In recent years' works on sign language recognition, HMMs has played an important role. The statistical frame based on the HMM is the mainstream method in dynamic recognition domain recently; also is this article's basic theory. Presents a Semi -Continuous Hidden Markov Model for sign language recognition. Experiments show that SCHMM is prior to the DHMM and the CHMM. SCHMM avoids the information loss because of the vector estimate in DHMM, debases the complexity and the operations at the same recognition rate.