LEVEL, DOWNHILL AND UPHILL WALKING IDENTIFICATION USING NEURAL NETWORKS

被引：18

作者：

AMINIAN, K ^{[1
]}

ROBERT, P ^{[1
]}

JEQUIER, E ^{[1
]}

SCHUTZ, Y ^{[1
]}

机构：

[1] UNIV LAUSANNE,INST PHYSIOL,CH-1011 LAUSANNE,SWITZERLAND

来源：

ELECTRONICS LETTERS | 1993年 / 29卷 / 17期

关键词：

BIOMEDICAL MEASUREMENT; NEURAL NETWORK;

D O I：

10.1049/el:19931042

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Body accelerations during human walking are recorded by a portable measuring device. A new method for parameterising body accelerations is introduced. The parameters are presented to a Kohonen neural network classifier and the feasibility of identification and dissociation of level and walking on a gradient is demonstrated. The most important and original aspect of this classification is its ability to identify the gradient of walking performed in free-living conditions from walking trained on a treadmill.

引用

页码：1563 / 1565

页数：3