Cargando…
Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic, and be ready to adapt to new circumstances. Most studies on driving safety focus on detecting anomalies in driver behavior and monitoring cognitive capabilities in drivers. In our study, we proposed a c...
Autores principales: | Doniec, Rafał, Konior, Justyna, Sieciński, Szymon, Piet, Artur, Irshad, Muhammad Tausif, Piaseczna, Natalia, Hasan, Md Abid, Li, Frédéric, Nisar, Muhammad Adeel, Grzegorzek, Marcin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305714/ https://www.ncbi.nlm.nih.gov/pubmed/37420718 http://dx.doi.org/10.3390/s23125551 |
Ejemplares similares
-
Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation
por: Huang, Xinyu, et al.
Publicado: (2023) -
AI Approaches towards Prechtl’s Assessment of General Movements: A Systematic Literature Review
por: Irshad, Muhammad Tausif, et al.
Publicado: (2020) -
A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors
por: Nisar, Muhammad Adeel, et al.
Publicado: (2023) -
SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors
por: Irshad, Muhammad Tausif, et al.
Publicado: (2022) -
Extreme Situation Experienced by Dental Students of the Medical University of Silesia Due to the SARS-CoV-2 Epidemic during the First Lockdown
por: Doniec, Rafał, et al.
Publicado: (2021)