Gait Recognition Based on the Fast Fourier Transform and SVM
Gait recognition is a new type of biometric identification technology. In the preliminary study of biped robot with heterogeneous legs, we detect road information by classify of subject’s gait data by measurement using gyroscope. Then we can make bionic leg’s movement to follow artificial leg’s movement perfectly. So gait recognition is a very important step in it. This paper adopted the Fast Fourier Transform to the feature selection of time-series sequence of measurement gait data, and reduces the characteristic number of the samples into two. Then we detected the situation of road by gait recognition of different gait data on the different roads based support vector machine. The experiment shows a good result, and the method reduces the computing time significantly.
Gait recognition Feature selection Fast Fourier transform Support vector machine.
Fei Wang Shiguang Wen Chengdong Wu Yuzhong Zhang Hao Wang
College of Information Science and Engineering, Northeastern University, Shenyang, China
国际会议
2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)
四川绵阳
英文
1091-1094
2011-05-23（万方平台首次上网日期，不代表论文的发表时间）