Individual identification by gait vibration data transmitted floor

The establishment of variety methods in the individual identification technology is desirable. In this study, it is considered that the method of individual identification from vibration data generated in gait. In the walking motion, the unique information such as the individual's body type and habit is contained. It is assumed that the unique information is reflected in the gait vibration data transmitted in the floor. The potential for application to individual identification is shown by extracting one step and analyzing the unique information from the gait vibration data. The Adaboost method is applied to the extraction of one step of the walking. In order to represent the characteristics of each individual and analyzed using the Principal Component Analysis.