DocumentCode
1826239
Title
Gait recognition using acceleration from MEMS
Author
Gafurov, Davrondzhon ; Helkala, Kirsi ; Soendrol, T.
Author_Institution
Dept. of Comput. Sci. & Media Technol., Gjovik Univ. Coll., Norway
fYear
2006
fDate
20-22 April 2006
Abstract
This paper presents an approach on recognising individuals based on 3D acceleration data from walking, which are collected using MEMS. Unlike most other gait recognition methods, which are based on video source, our approach uses walking acceleration in three directions: vertical, backward-forward and sideways. Using gait samples from 21 individuals and applying two methods, histogram similarity and cycle length, the equal error rates of 5% and 9% are achieved, respectively.
Keywords
acceleration; biometrics (access control); gait analysis; image recognition; micromechanical devices; 3D acceleration data; MEMS; cycle length; gait recognition; histogram similarity; walking acceleration data; Acceleration; Accelerometers; Biometrics; Computer science; Educational institutions; Fingerprint recognition; Information security; Leg; Legged locomotion; Micromechanical devices;
fLanguage
English
Publisher
ieee
Conference_Titel
Availability, Reliability and Security, 2006. ARES 2006. The First International Conference on
Print_ISBN
0-7695-2567-9
Type
conf
DOI
10.1109/ARES.2006.68
Filename
1625340
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