Cargando…
Assessment of Driver’s Drowsiness Based on Fractal Dimensional Analysis of Sitting and Back Pressure Measurements
The most effective way of preventing motor vehicle accidents caused by drowsy driving is through a better understanding of drowsiness itself. Prior research on the detection of symptoms of drowsy driving has offered insights on providing drivers with advance warning of an elevated risk of crash. The...
Autores principales: | Murata, Atsuo, Kita, Ippei, Karwowski, Waldemar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281877/ https://www.ncbi.nlm.nih.gov/pubmed/30555386 http://dx.doi.org/10.3389/fpsyg.2018.02362 |
Ejemplares similares
-
Non-Invasive Driver Drowsiness Detection System
por: Siddiqui, Hafeez Ur Rehman, et al.
Publicado: (2021) -
Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection
por: Kundinger, Thomas, et al.
Publicado: (2020) -
Detecting Driver Drowsiness Based on Sensors: A Review
por: Sahayadhas, Arun, et al.
Publicado: (2012) -
A Portable Fuzzy Driver Drowsiness Estimation System
por: Celecia, Alimed, et al.
Publicado: (2020) -
An Efficient Approach for Driver Drowsiness Detection at Moderate Drowsiness Level Based on Electroencephalography Signal and Vehicle Dynamics Data
por: Houshmand, Sara, et al.
Publicado: (2022)