Results 161 to 170 of about 3,208 (258)
Driver Drowsiness Detection and Alert Generating System
Sowntharya Lakshmi B +4 more
openalex +2 more sources
Study overview and clustering results in the iSPHYNCS cohort. Participant demographics are summarized in a baseline table. Questionnaire data and metadata were processed through an unsupervised clustering pipeline. A Sankey plot illustrates individual assignment across clusters by diagnostic group.
Rafael Morand +19 more
wiley +1 more source
ABSTRACT For athletes in endurance sports, who compete over several days and in unpredictable conditions, managing sleep–wake rhythms is critical to ensure optimal performance and minimise the risks to safety. Despite its growing popularity, the role of sleep management on ultracycling performance has received little attention.
Rémy Hurdiel +4 more
wiley +1 more source
ABSTRACT Preterm birth is a significant risk factor for atypical neurodevelopment, yet early electrophysiological markers of brain maturation are still lacking. Non‐invasive electroencephalographic (EEG) monitoring of cortical maturation in these patients holds promise as a tool for neurodevelopmental prediction.
Gaia Burlando +9 more
wiley +1 more source
Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection. [PDF]
Arefnezhad S +3 more
europepmc +1 more source
Real Time Driver Drowsiness Detection using OpenCV and Facial Landmarks
L. Thulasimani +2 more
openalex +1 more source
ABSTRACT Sleep problems are increasingly common among students in higher education, but long‐term trajectories before, during and after the COVID‐19 pandemic remain poorly described. We analysed population‐level surveillance data from the Students' Health and Wellbeing Study conducted in Norway in 2010, 2014, 2018, 2021, 2022 and 2023, including nearly
Børge Sivertsen +4 more
wiley +1 more source
ABSTRACT Although not as prominent as in other animals, humans also experience seasonal variations in sleep duration and circadian processes. These variations are likely primarily driven by changes in photoperiod length. Anecdotally, many people report experiencing fatigue and low energy levels, particularly during spring in Germany, Switzerland and ...
Christine Blume, Albrecht Vorster
wiley +1 more source
Design of a System for Driver Drowsiness Detection and Seat Belt Monitoring Using Raspberry Pi 4 and Arduino Nano [PDF]
Anthony Alvarez Oviedo +5 more
openalex +1 more source

