  A plethora of biometric measures have been proposed in the past. In this
paper we introduce a new potential biometric measure: the human tremor. We
present a new method for identifying the user of a handheld device using
characteristics of the hand tremor measured with a smartphone built-in inertial
sensors (accelerometers and gyroscopes). The main challenge of the proposed
method is related to the fact that human normal tremor is very subtle while we
aim to address real-life scenarios. To properly address the issue, we have
relied on weighted Fourier linear combiner for retrieving only the tremor data
from the hand movement and random forest for actual recognition. We have
evaluated our method on a database with 10 000 samples from 17 persons reaching
an accuracy of 76%.

Human-Computer Interaction