8. The apparatus of claim 6 , wherein each of the at least one electromyogram sensor has a different channel from one another, and wherein the model acquiring part obtains an entropy for each of electromyogram measurement signals acquired from the at least one electromyogram sensor and acquires the first Gaussian model according to the entropy.
8. The apparatus of claim 6 , wherein each of the at least one electromyogram sensor has a different channel from one another, and wherein the model acquiring part obtains an entropy for each of electromyogram measurement signals acquired from the at least one electromyogram sensor and acquires the first Gaussian model according to the entropy. 9. The apparatus of claim 8 , wherein a manual alphabet recognizing part calculates individual similarities between the first Gaussian model of each of the electromyogram measurement signals acquired from the at least one electromyogram sensor and the set of Gaussian candidate models in the first group and determines the first Gaussian candidate in which a product of the calculated individual similarities has a greatest value as the first fingerspelling motion of the subject.