Abstract
Travelling by car is the preferred method of everyday transportation by most of the people in the world.
Individuals from different age groups (at least exceeding the minimum age limit of 16 or 18 years) and
health condition (meeting safe mental and physiological requirements) are traveling by car more often and
increasingly by themselves.
With a rising number of assistance systems and increasing complexity of information to be presented,
drivers demand the automatic operation of driver assistance systems. One of the main interaction
mediums between a driver and a car is the driver seat. Given that the seat is occupied all the time while
driving, it can be a possible solution for unobtrusive recording of personal characteristics to be used for
continuous driver authentication. In this work we focus on a discussion of design and implementation
issues for authenticating a driver based on his/her sitting profile and/or contactless collected
electrocardiogram data using in-seat electrodes.
This approach is novel in terms of “participation” – the driver has neither to operate something nor to
attach a device. Furthermore he/she must not be aware of the continuous collection of his/her personal
profile at all.
| Original language | English |
|---|---|
| Title of host publication | Continuous Authentication based on Biometrics: Data, Models, and Metrics |
| Editors | Issa Traore and Ahmed Awad E. Ahmed |
| Place of Publication | 701 E. Chocolate Ave. Hershey, PA 17033, USA |
| Publisher | IGI Global |
| Number of pages | 30 |
| Publication status | Published - Feb 2011 |
Fields of science
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102018 Artificial neural networks
JKU Focus areas
- Engineering and Natural Sciences (in general)