This review provides an overview of unobtrusive monitoring techniques that could be used
to monitor some of the human vital signs (ie, heart activity, breathing activity, temperature …

Driving a vehicle is a complex, multidimensional, and potentially risky activity demanding full
mobilization and utilization of physiological and cognitive abilities. Drowsiness, often caused …

Drowsiness when in command of a vehicle leads to a decline in cognitive performance that
affects driver behavior, potentially causing accidents. Drowsiness-related road accidents …

Fatigue could lead to low efficiency and even serious disaster. In the educational field,
detecting fatigue could help adjust teaching strategies accordingly when a student is …

Unobtrusive monitoring of vital signs is relevant for both medical (patient monitoring) and
non-medical applications (eg, stress and fatigue monitoring). In this paper, we focus on the …

A classification model (Stress Classification-Net) of emotional stress and physical stress is
proposed, which can extract classification features based on multispectral and tissue blood …

In this paper, a vision-based physiological signal measurement system is proposed to
instantly measure driver fatigue. A remote photoplethysmography (rPPG) signal is a type of …

With driver fatigue continues to cause serious and deadly car and motorcycles accidents, the
need for automatically recognizing driver fatigue and alerting the drivers is apparent …

Doctorate committee: prof. dr. ir. G. de Haan TU Eindhoven, promotor dr. ir. S. Stuijk TU
Eindhoven, copromotor prof. dr. ir. AB Smolders TU Eindhoven, chairman prof. dr. ir. PHN de …

Deep learning, including convolutional neural networks (CNNs), has started finding
applications in brain-computer interfaces (BCIs). However, so far most such approaches …