言語知識の転移学習を通じた運動と言語の潜在構造の抽出

抄録

We introduce the latent structure of human whole body motion and language through neural network. A word is represented as a numeric vector based on large scale corpus of action description. We design the latent structure of motion and natural language. This latent structure makes it possible to recognize motions as linguistic descriptions.