Identifying people from gait pattern with accelerometers

Heikki J. Ailisto; Mikko Lindholm; Jani Mantyjarvi; Elena Vildjiounaite; Satu-Marja Makela

doi:10.1117/12.603331

28 March 2005 Identifying people from gait pattern with accelerometers

Heikki J. Ailisto, Mikko Lindholm, Jani Mantyjarvi, Elena Vildjiounaite, Satu-Marja Makela

Proceedings Volume 5779, Biometric Technology for Human Identification II; (2005) https://doi.org/10.1117/12.603331
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

Heikki J. Ailisto, Mikko Lindholm, Jani Mantyjarvi, Elena Vildjiounaite, and Satu-Marja Makela "Identifying people from gait pattern with accelerometers", Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); https://doi.org/10.1117/12.603331

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