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Journal of Computers
This paper evaluates the classification accuracy of personal identification by a classification scheme with feature extraction based on joint motions using only two-dimensional information. Experimental results show that the feature extraction based on joint motions can achieve moderate classification accuracy when feature vectors are constructed from only two-dimensional information in an image plane. In addition, the results include interesting knowledge: the classification accuracy is notdoi:10.17706/jcp.13.1.49-57 fatcat:kgox37ej2zcmfe2onde46lfjqq