Drowsiness in drivers has become a serious cause of concern due to the occurrences of a
large number of fatalities on the road each year. Lives of pedestrians and passengers are …

The current study is based on an integrated research model developed by combining
constructs from the Technology Acceptance Model (TAM) and other features affecting …

Drowsiness is not only a core challenge to safe driving in traditional driving conditions but
also a serious obstacle for the wide acceptance of added services of self-driving cars …

This paper presents a novel algorithm for the estimation of heart rate variability (HRV)
features using 24-GHz continuous-wave Doppler radar with quadrature architecture. The …

This study aims to investigate the most effective and interesting variables that urge use of the
smartwatch (SW) in a medical environment. To achieve this aim, the study was framed using …

Transportation is playing a vital role in our daily life and its development has made many of
our chores much easier. But in recent years, driver drowsiness, distractions, and speed limit …

This paper is focused to develop a wearable glove system to detect driver stress events in
real time. The driver's stress is estimated by the use of physiological signals and steering …

Increased driver stress is generally recognized as one of the major factors leading to road
accidents and loss of life. Even though physiological signals are reported as the most …

The measurement of human vital signs is a highly important task in a variety of environments
and applications. Most notably, the electrocardiogram (ECG) is a versatile signal that could …

Although the recognition of the pervasive nature of technologies has prompted research, few
studies have addressed the specific characteristics that enhance the confirmation …