@CONFERENCE\{IMM2010-05902,
    author       = "M. Derawi and D. Gafurov and R. Larsen and C. Busch and P. Bours",
    title        = "Fusion of Gait and Fingerprint for User Authentication on Mobile Devices",
    year         = "2010",
    month        = "may",
    booktitle    = "Proceedinsg of the 2nd International Workshop on Security and Communication Networks, Karlstad, Sweden",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/5902-full.html",
    abstract     = "Abstract—A new multi-modal biometric authentication approach
using gait signals and fingerprint images as biometric
traits is proposed. The individual comparison scores derived from
the gait and fingers are normalized using four methods (minmax,
z-score, median absolute deviation, tangent hyperbolic) and
four fusion approaches (simple sum, user-weighting, maximum
score and minimum core). The proposed method is evaluated
using 7200 fingerprint images and gait samples. Fingerprints are
collected by a capacitive line sensor, an optical sensor with total
internal reflection and a touch-less optical sensor. Gait samples
are obtained by using a dedicated accelerometer sensor attached
to the hip. And by applying the described commercial fingerprint
scanners and dedicated gait sensors, the fusion results of these
two biometrics shows an improved performance and a large step
closer for user authentication on mobile devices."
}