A comparison of the basic temporal features of fronto-normal and fronto-parallel gait

被引：2

作者：

Lee, Tracey K. M. ^{[1
]}

Loe, K. F. ^{[2
]}

Lee, P. A. ^{[2
]}

Sanei, Saeid ^{[3
]}

机构：

[1] Singapore Polytech, Sch EEE, 500 Dover Rd, Singapore 139651, Singapore

[2] Monash Univ, Sch IT, Clayton, Vic 3800, Australia

[3] Cardiff Univ, Ctr Digital Signal Processing, Cardiff CF243AA, S Glam, Wales

来源：

PROCEEDINGS OF THE 2007 15TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING | 2007年

关键词：

gait; stationarity; biometrics;

D O I：

10.1109/ICDSP.2007.4288561

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

With the widespread use of video, biometrics that have a temporal dimension can now be easily used. The element of time allows a wide range of tools used for time series analysis to be applied to biometrics. In this paper we examine more closely, the temporal nature of fronto-normal gait and that is to examine its basic statistical properties, an important one being its stationarity properties. This is an original application of stick analyses to gait data. Such properties would form the basis for autoregressive (AR) analysis of the data.

引用

页码：231 / +

页数：2

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