A computer system developed by students in the Data Mining Laboratory at the Computer Science Department
is able to identify the typist according to typing
patterns.
Ido Yariv and Mordechai Nisenson, working under the supervision
of
Dr. Ran El-Yaniv and
Prof. Ron Meir (of the EE Dept.)
are responsible
for the new development.
The idea of identifying a typist according to
the
resulting "keystroke dynamics" has been around at least
since the 80's. While currently available
technologies can
identify a typist typing fixed phrases (like passwords)
the new technology developed
in the data mining laboratory
is capable of identifying a typist typing free text.
The project won a
$1000 prize of the IAP creativity context.
See some English media coverage in
:
Yahoo Finance,
Discover,
Technologyreview,
ScienceDaily,
e4engineering,
The Jerusalem Post;
and Hebrew in:
Globes,
Ynet,
Yated Ne'eman,
MSN.
