  In order to develop infocommunications devices so that the capabilities of
the human brain may interact with the capabilities of any artificially
cognitive system a deeper knowledge of aging is necessary. Especially if
society does not want to exclude elder people and wants to develop automatic
systems able to help and improve the quality of life of this group of
population, healthy individuals as well as those with cognitive decline or
other pathologies. This paper tries to establish the variations in handwriting
tasks with the goal to obtain a better knowledge about aging. We present the
correlation results between several parameters extracted from online
handwriting and the age of the writers. It is based on BIOSECURID database,
which consists of 400 people that provided several biometric traits, including
online handwriting. The main idea is to identify those parameters that are more
stable and those more age dependent. One challenging topic for disease diagnose
is the differentiation between healthy and pathological aging. For this
purpose, it is necessary to be aware of handwriting parameters that are, in
general, not affected by aging and those who experiment changes, increase or
decrease their values, because of it. This paper contributes to this research
line analyzing a selected set of online handwriting parameters provided by a
healthy group of population aged from 18 to 70 years. Preliminary results show
that these parameters are not affected by aging and therefore, changes in their
values can only be attributed to motor or cognitive disorders.
