A novel age interval identification method based on Gait monitoring

With the development of society, Gait recognition, as an emerging biometric identification technology, has been paid more and more attention for its unique advantages of non-aggression, uniqueness, remote identification, easy to collect, and difficult to fake and hide. In this article, the gait and the recognition of the age range are combined together. A method of extracting gait features based on the information of lower limb joint angles is presented to identify the age interval. Due to occlusion caused by human walking, according to cycle of movement gait, generating feature is vectored by Fourier series and genetic algorithm. The occlusion has been solved to some degree.