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Proceedings Paper

Identifying people from gait pattern with accelerometers
Author(s): Heikki J. Ailisto; Mikko Lindholm; Jani Mantyjarvi; Elena Vildjiounaite; Satu-Marja Makela
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Paper Abstract

Protecting portable devices is becoming more important, not only because of the value of the devices themselves, but for the value of the data in them and their capability for transactions, including m-commerce and m-banking. An unobtrusive and natural method for identifying the carrier of portable devices is presented. The method uses acceleration signals produced by sensors embedded in the portable device. When the user carries the device, the acceleration signal is compared with the stored template signal. The method consists of finding individual steps, normalizing and averaging them, aligning them with the template and computing cross-correlation, which is used as a measure of similarity. Equal Error Rate of 6.4% is achieved in tentative experiments with 36 test subjects.

Paper Details

Date Published: 28 March 2005
PDF: 8 pages
Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); doi: 10.1117/12.603331
Show Author Affiliations
Heikki J. Ailisto, VTT Electronics (Finland)
Mikko Lindholm, VTT Electronics (Finland)
Jani Mantyjarvi, VTT Electronics (Finland)
Elena Vildjiounaite, VTT Electronics (Finland)
Satu-Marja Makela, VTT Electronics (Finland)

Published in SPIE Proceedings Vol. 5779:
Biometric Technology for Human Identification II
Anil K. Jain; Nalini K. Ratha, Editor(s)

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