Identifying people from gait pattern with accelerometers

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

133 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationBiometric Technology for Human Identification II Proceedings
PublisherInternational Society for Optics and Photonics SPIE
Pages7-14
Number of pages8
DOIs
Publication statusPublished - 18 Oct 2005
MoE publication typeA4 Article in a conference publication
EventBiometric Technology for Human Identification II - Orlando, FL, United States
Duration: 28 Mar 200529 Mar 2005

Publication series

SeriesProceedings of SPIE
Volume5779
ISSN0277-786X

Conference

ConferenceBiometric Technology for Human Identification II
CountryUnited States
CityOrlando, FL
Period28/03/0529/03/05

Fingerprint

gait
Accelerometer
Gait
accelerometers
Accelerometers
Template
templates
Sensors
commerce
normalizing
Banking
Cross-correlation
Experiments
cross correlation
Transactions
Averaging
Error Rate
Sensor
Computing
sensors

Keywords

  • Accelerometer
  • Biometrics
  • Gait
  • Mobile phone
  • PDA
  • Portable

Cite this

Ailisto, H., Lindholm, M., Mäntyjärvi, J., Vildjiounaite, E., & Mäkelä, S. M. (2005). Identifying people from gait pattern with accelerometers. In Biometric Technology for Human Identification II Proceedings (pp. 7-14). International Society for Optics and Photonics SPIE. Proceedings of SPIE, Vol.. 5779 https://doi.org/10.1117/12.603331
Ailisto, Heikki ; Lindholm, Mikko ; Mäntyjärvi, Jani ; Vildjiounaite, Elena ; Mäkelä, Satu Marja. / Identifying people from gait pattern with accelerometers. Biometric Technology for Human Identification II Proceedings. International Society for Optics and Photonics SPIE, 2005. pp. 7-14 (Proceedings of SPIE, Vol. 5779).
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Ailisto, H, Lindholm, M, Mäntyjärvi, J, Vildjiounaite, E & Mäkelä, SM 2005, Identifying people from gait pattern with accelerometers. in Biometric Technology for Human Identification II Proceedings. International Society for Optics and Photonics SPIE, Proceedings of SPIE, vol. 5779, pp. 7-14, Biometric Technology for Human Identification II, Orlando, FL, United States, 28/03/05. https://doi.org/10.1117/12.603331

Identifying people from gait pattern with accelerometers. / Ailisto, Heikki; Lindholm, Mikko; Mäntyjärvi, Jani; Vildjiounaite, Elena; Mäkelä, Satu Marja.

Biometric Technology for Human Identification II Proceedings. International Society for Optics and Photonics SPIE, 2005. p. 7-14 (Proceedings of SPIE, Vol. 5779).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Ailisto H, Lindholm M, Mäntyjärvi J, Vildjiounaite E, Mäkelä SM. Identifying people from gait pattern with accelerometers. In Biometric Technology for Human Identification II Proceedings. International Society for Optics and Photonics SPIE. 2005. p. 7-14. (Proceedings of SPIE, Vol. 5779). https://doi.org/10.1117/12.603331