Identifying people from gait pattern with accelerometers

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

    197 Citations (Scopus)


    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
    Number of pages8
    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


    ConferenceBiometric Technology for Human Identification II
    Country/TerritoryUnited States
    CityOrlando, FL


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


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