Sign Language Synthesis of Individuation Based on Data Model

This paper analyzed the structure and variation of sign language based the understanding of sign signal from the perspectives of human kinemics and linguistics. Our method proposed the definition and the description method of the basic movement features correlated with the individuality of signs to build the sign language computational model, based on ensuring the structurality of sign signals, then used a great deal of valid and general data generated by the model through varying the settings of the model parameters to drive the virtual person to show sign language full of individuation.

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