Personal Authentication by Walking Motion using Kinect In recent years, with the rapid development of the information society, the importance of personal authentication has become higher and higher. This paper focuses on the use of a Kinect sensor to obtain walking characteristics for personal authentication. In terms of the proposal method, Kinect is used to obtain bodyu0027s physical feature quantity, such as the angle of joint bending when a person walks, the displacement of coordinates. In terms of learning recognition, the support vector machine and the obtained feature amount are used for personal authentication. We measured 3 subjects data 5 times a day for 4 days, and obtained an average recognition accuracy of 77.4 % using crossvalidation.

A Physical Strength Measurement and Analysis System for Elderly People Using Motion Sensors The fiscal burden of increasing social security expenses for the elderly is a major issue in Japan. The elderly lose physical fitness as they age. In particular, degradation in walking ability leads to falling accidents which pose a risk of serious wounds such as fractures that may resign one to a life in bed. In this study, we propose a system that is capable of measuring and analyzing an elderly personu0027s walking ability. The proposed system, using Kinect motion sensor and written in the programming language Scratch, can measure an elderly personu0027s gait accurately and be operated simply without specialist knowledge. Through real experiments with 16 subjects, some potential problems in walking were easily found by analyzing the measured data.