The Smartphone as a Gait Recognition Device Impact of Selected Parameters on Gait Recognition

被引：0

作者：

Le Moing, Josselyn ^{[1
]}

Stengel, Ingo ^{[1
]}

机构：

[1] Plymouth Univ, Sch Comp & Math, Plymouth, Devon, England

来源：

2015 INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY (ICISSP) | 2015年

关键词：

Gait Recognition; Biometric Authentication; Accelerometer;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper aims to identify the impacts of a couple of parameters on gait recognition when a build-in smartphone accelerometer is used. The use of different types of shoes impacts significantly gait recognition while the matching rate on a different surface e.g. grass has only a minor impact. A correlation between accelerometer's data and the phone position was identified. For this, data originating from the Z-axis as well as from the X-Y-Z -axis was used together with Dynamic Time Warping (DTW) for template generation and matching tests.

引用

页码：322 / 328

页数：7

共 12 条

[1]

Android, 2014, DEV ANDR WEBS SENS O

[2]

Bouchrika I., 2008, Exploratory factor analysis of gait recognition

[3]

Gafurov D., 2007, GAIT AUTHENTICATION

[4]

Holien K., 2007, DIFFERENT SURFACES A

[5] Faster retrieval with a two-pass dynamic-time-warping lower bound [J].

Lemire, Daniel .

PATTERN RECOGNITION, 2009, 42 (09) :2169-2180

[6]

Levine D., 2012, Gait Analysis, V5th

[7]

Lu H., 2014, UNOBTRUSIVE GAIT VER, V14

[8]

Matovski D.S., 2012, EFFECT TIME GAIT REC

[9]

Muaaz M., 2012, INFLUENCE DIFFERENT

[10]

Nambiar A. M, 2012, MM SEC 2012

← 1 2 →