Human Identification Based on Gaits Analysis Using Sensors-Based Data Bands

We all have such learning experiences that our teachers told us that there were no two identical leaves in the world. Based on this, this paper proposes that since there are no two identical leaves in the world, so as that no two people in the world have the same walking postures and gaits. In this study, a human identification system based on gait analysis via sensors-based data bands was introduced. The data bands were affixed to knee joints and calf for human gaits detection. The human gaits detection method was performed based on multi-sensor data fusion, and calculation method based on Cartesian geometric coordinates. In addition, experimental results show that the human gaits were accurately detected, and the human identities were accurately identified by the proposed methods. Moreover, the classifier is applied to output the final human identification ordinary category of people.