Identifying users of portable devices from gait pattern with accelerometers

Author

Mäntyjärvi, Jani ; Lindholm, Mikko ; Vildjiounaite, Elena ; Mäkelä, Satu-Marja ; Ailisto, H.A.

Author_Institution

VTT Electron., Oulu, Finland

Volume

2

fYear

2005

fDate

18-23 March 2005

Abstract

Identifying users of portable devices from gait signals acquired with three-dimensional accelerometers was studied. Three approaches, correlation, frequency domain and data distribution statistics, were used. Test subjects (N=36) walked with fast, normal and slow walking speeds in enrolment and test sessions on separate days wearing the accelerometer device on their belt, at back. It was shown to be possible to identify users with this novel gait recognition method. Best equal error rate (EER=7%) was achieved with the signal correlation method, while the frequency domain method and two variations of the data distribution statistics method produced EER of 10%, 18% and 19%, respectively.

Keywords

accelerometers; biometrics (access control); correlation methods; error statistics; frequency-domain analysis; gait analysis; pattern recognition; signal processing; statistical analysis; accelerometers; data distribution statistics; equal error rate; frequency domain method; gait biometrics; gait pattern; gait recognition; portable device user identification; signal correlation method; three-dimensional accelerometers; Accelerometers; Biometrics; Error analysis; Fingerprint recognition; Frequency domain analysis; Legged locomotion; Object recognition; Smart phones; Statistical distributions; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8874-7

Type

conf

DOI

10.1109/ICASSP.2005.1415569

Filename

1415569