Gait Recognition Based on MEMS Accelerometer
Recently, with the rapid development of MEMS technology, the micro-sensors application in gait research has become more and more widespread, relying on its small size, low cost, light weight, and high precision characteristics. This paper presents a non-specific human gait type recognition system based on a single MEMS accelerometer, and will guide the further study in human identification, motion analysis, medical care, diet plans, etc. After a series of computing and processing the 3D raw acceleration data, by using the wavelet-threshold algorithm, the signal and noise are separated and gait cycles are easily divided. By adopting the pattern recognition theory and the combination method of time domain and frequency domain, the system realizes the gait type recognition. In the experiment the EER can reach 6.29％ with 400 sets of acceleration data for test.
MEMS accelerometer wavelet decomposition correlation coefficient
Liu Yan Li Yue-e Hou Jian
School of Information, Business College of Shanxi University, Taiyuan, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
1679-1681
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）