Personal Attributes Identification based on Gait Recognition using Smart Phone Sensors

被引：2

作者：

Ibrar, Kainat ^{[1
]}

Azam, Muhammad Awais ^{[2
]}

Ehatisham-ul-Haq, M. ^{[1
]}

机构：

[1] Univ Engn & Technol Taxila, Dept Comp Engn, Taxila, Punjab, Pakistan

[2] Whitecliffe Technol, Informat Technol, Wellington, New Zealand

来源：

PROCEEDINGS OF 2020 12TH INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2020) | 2020年

关键词：

gait recognition; personal attributes identification; styling; user-identification; gender recognition; weight identification; age identification; REPRESENTATION; PATTERN; GENDER; USERS;

D O I：

10.1145/3384613.3384642

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Every individual has a unique gait that can not only be used for identification but also when observed carefully, may reveal personal attributes like age, gender, weight etc. of a person. This information can then be used for a number of purposes like in biometric-access control, for marketing applications, for making systems more intelligent in its user's recognition and for fitness applications. Although a lot of research has been done on these attributes separately, but this paper proposes a novel approach to identify all of the above-mentioned personal attributes of a person in a single framework based on his gait patterns using smart phone sensors. Series of experiments have been performed to demonstrate its effectiveness.

引用

页码：94 / 97

页数：4

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