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In the present day, human-computer interaction is more important. This study proposes a new ideal for hand recognition model by combining VICON and multiple discriminant analysis (MDA). After building and testing, this model showed the recognition rates are 98.60% (by train set) and 82.64% (by test set) respectively. The average recognition rate is 90.62%. Besides, this research discussion the effect of subjects and eigen vectors on recognition rate of model.