Toward Extraction of Individual Characteristics from the Inertial Sensors data of Walking Motion by Singular Value Decomposition

Abstract

In our previous researches, we discussed a method based on of extracting both of a similarities/style and differences/characteristic component from walking motions using four wearable motion sensors. This method suggested that data with segmented walking motion could be used to identify individuals. However, we did not discuss the physical meanings of the similarities/style and differences/characteristic components of a subject from the walking data. In this paper, we discuss a method of determining which segment data contributes to the similarities/style and differences/characteristic components, toward the understanding of the physical meanings of the similarities/style and differences/characteristic components of a subject from the walking data.