Methods and technologies of human gait recognition

Gait recognition is a hotspot in the field of pattern recognition, information security and clinical medicine in recent years. This paper mainly reviewed the four aspects of the gait data acquisition instruments, common gait databases, gait feature extraction and the methods of gait recognition. Firstly, the advantages and disadvantages, reliability, and application scenarios of the commonly used gait data acquisition instruments were introduced. Secondly, the common gait data sets were compared and analyzed from six aspects of the establishment of institutions, the sample size, the sampling rate, the environments, the instruments and the variables. Third, the existing gait parameter extraction methods were divided into model-based methods and non-model-based methods to elaborate in detail. Fourth, the gait recognition was introduced from support vector machine, auto-encoder and convolutional neural network, respectively, and the above methods from the two application directions of personal identification and abnormal gait identification were compared respectively. Finally, the shortcomings of current research and the future development directions were pointed out based on practical application. © 2020, Jilin University Press. All right reserved.