2012 Volume 24 Issue 1 Pages 513-525
Recently, various methods that analysed physical movement have been proposed. Kawato has argued that internal model with closed loop between feedback control and feedforward control is useful for sinuous movement as a model for motor control. In this paper, we consider internal model as a function model identified from observed data, and propose a model to extract the characteristic of human movement with singular value decomposition from the time-series data of various sensors. We call the knowledge acquired by the internal model embodied knowledge. In particular, we categorized gesture motions by two kinds of models with the indexes of similarity and estimation using left singular vectors. In addition, the ambulation movement is distinguished by hyperplane of three-dimension constructed by singular value. Finally we discussed characteristic and significance of the movement analysis using singular value decomposition proposed in this paper.
