4.5 Article

EEG-Based Drowsiness Estimation for Driving Safety Using Deep Q-Learning

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Multidisciplinary Sciences

A distributional code for value in dopamine-based reinforcement learning

Will Dabney et al.

NATURE (2020)

Article Psychology, Biological

A tradeoff relationship between internal monitoring and external feedback during the dynamic process of reinforcement learning

Chunlei Liu et al.

INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY (2020)

Article Ergonomics

Drowsiness and distraction while driving: A study based on smartphone app data

Sonia Soares et al.

JOURNAL OF SAFETY RESEARCH (2020)

Article Multidisciplinary Sciences

A distributional code for value in dopamine based reinforcement learning

Will Dabney et al.

NATURE (2020)

Article Engineering, Electrical & Electronic

An Effective Hybrid Model for EEG-Based Drowsiness Detection

Umit Budak et al.

IEEE SENSORS JOURNAL (2019)

Article Psychology, Applied

Using real-life alert-based data to analyse drowsiness and distraction of commercial drivers

Sara Ferreira et al.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2019)

Proceedings Paper Computer Science, Artificial Intelligence

ECG sensor for detection of driver's drowsiness

Markus Gromer et al.

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KES 2019) (2019)

Proceedings Paper Computer Science, Interdisciplinary Applications

On-board Drowsiness Detection using EEG: Current Status and Future Prospects

Shubha Majumder et al.

2019 IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY (EIT) (2019)

Article Computer Science, Information Systems

Driver Drowsiness Detection Based on Respiratory Signal Analysis

Federico Guede-Fernandez et al.

IEEE ACCESS (2019)

Article Neurosciences

A novel real-time driving fatigue detection system based on wireless dry EEG

Hongtao Wang et al.

COGNITIVE NEURODYNAMICS (2018)

Article Engineering, Biomedical

EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces

Vernon J. Lawhern et al.

JOURNAL OF NEURAL ENGINEERING (2018)

Article Neurosciences

Brain Electrodynamic and Hemodynamic Signatures Against Fatigue During Driving

Chun-Hsiang Chuang et al.

FRONTIERS IN NEUROSCIENCE (2018)

Article Psychology, Biological

Assessment of driver drowsiness using electroencephalogram signals based on multiple functional brain networks

Jichi Chen et al.

INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY (2018)

Article Multidisciplinary Sciences

Vector-based navigation using grid-like representations in artificial agents

Andrea Banino et al.

NATURE (2018)

Article Computer Science, Artificial Intelligence

Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)

Dongrui Wu et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network

Yu-Ting Liu et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)

Article Ergonomics

Traffic accidents involving fatigue driving and their extent of casualties

Guangnan Zhang et al.

ACCIDENT ANALYSIS AND PREVENTION (2016)

Article Multidisciplinary Sciences

Human-level control through deep reinforcement learning

Volodymyr Mnih et al.

NATURE (2015)

Article Multidisciplinary Sciences

Neuron-type-specific signals for reward and punishment in the ventral tegmental area

Jeremiah Y. Cohen et al.

NATURE (2012)

Article Multidisciplinary Sciences

Understanding dopamine and reinforcement learning: The dopamine reward prediction error hypothesis

Paul W. Glimcher

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2011)

Article Engineering, Industrial

Can SVM be used for automatic EEG detection of drowsiness during car driving?

Mervyn V. M. Yeo et al.

SAFETY SCIENCE (2009)