Robust anticipation of continuous steering actions from electroencephalographic data during simulated driving
Abstract Driving a car requires high cognitive demands, from sustained attention to perception and action planning. Recent research investigated the neural processes reflecting the planning of driving actions, aiming to better understand the factors leading to driving errors and to devise methodolog...
Guardado en:
Autores principales: | Giovanni M. Di Liberto, Michele Barsotti, Giovanni Vecchiato, Jonas Ambeck-Madsen, Maria Del Vecchio, Pietro Avanzini, Luca Ascari |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/b7e47f480297433ebec372b376623c96 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Hybrid Systems to Boost EEG-Based Real-Time Action Decoding in Car Driving Scenarios
por: Giovanni Vecchiato
Publicado: (2021) -
A Robust QR and Computer Vision-Based Sensorless Steering Angle Control, Localization, and Motion Planning of Self-Driving Vehicles
por: Samia Abid, et al.
Publicado: (2021) -
Design of a new steering system to solve the problem of steering operation during low speed driving
por: Kei KITAHARA, et al.
Publicado: (2019) -
Noise-Robust MRI Upsampling Using Adaptive Local Steering Kernel
por: Jing Hu, et al.
Publicado: (2020) -
Electroencephalographic Activity and Cognitive Function in Middle-Aged Patients with Obstructive Sleep Apnea Before and After Continuous Positive Airway Pressure Treatment
por: Wang J, et al.
Publicado: (2021)