Driver fatigue detection systems have potential to improve road safety by preventing crashes
and saving lives. Conventional driver monitoring systems based on driving performance and …

Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …

Background: Sex and age have long been known to affect the ECG. Several biologic
variables and anatomic factors may contribute to sex and age-related differences on the …

Biometric authentication technology has become increasingly common in our daily lives as
information protection and control regulation requirements have grown worldwide. A …

Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising
reliable recognition in diverse applications. Commercial products using these traits for …

Robust authentication and identification methods become an indispensable urgent task to
protect the integrity of the devices and the sensitive data. Passwords have provided access …

Currently, ECG-based authentication is considered highly promising in terms of user
identification for smart healthcare systems because of its inimitability, suitability, accessibility …

The many vehicle crashes that are caused by driver sleepiness each year advocates the
development of automated driver sleepiness detection (ADSD) systems. This study …

An electrocardiogram (ECG) is a unique representation of a person's identity, similar to
fingerprints, and its rhythm and shape are completely different from person to person …

Driver sleepiness is a contributing factor in many road fatalities. A long-standing goal in
driver state research has therefore been to develop a robust sleepiness detection system. It …