@inproceedings{06a75f01a4964971a145b79e63c62b2f,
title = "Identifying people from gait pattern with accelerometers",
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.",
keywords = "Accelerometer, Biometrics, Gait, Mobile phone, PDA, Portable",
author = "Heikki Ailisto and Mikko Lindholm and Jani M{\"a}ntyj{\"a}rvi and Elena Vildjiounaite and M{\"a}kel{\"a}, {Satu Marja}",
year = "2005",
month = oct,
day = "18",
doi = "10.1117/12.603331",
language = "English",
series = "Proceedings of SPIE",
publisher = "International Society for Optics and Photonics SPIE",
pages = "7--14",
booktitle = "Biometric Technology for Human Identification II Proceedings",
address = "United States",
note = "Biometric Technology for Human Identification II ; Conference date: 28-03-2005 Through 29-03-2005",
}