Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Human motion is affected by some dynamic parameters, which represent the interaction between the body and the environment. Human can estimate the scale of the dynamic parameter from observation of motions. In this paper, a method to extract adaptive components in the motion is proposed. This method provides precise reconstruction of behavior using the adaptive components. However, it is not proven that these reconstructed behaviors affect people to perceive the dynamic parameters properly. A method to estimate the cognitive scale of the dynamic parameter and a method to extract the characteristic components necessary for perception are also proposed. The proposed methods have been applied to loading motion. Those results have suggested that the extracted characteristic components, that is the cognitive index, are not identical with the adaptive components. It was found that motions reconstructed on the basis of the cognitive indices lead to appropriate perceptions of the dynamic parameters.