🧠 + 🚗 Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system

Driver Behavior Collection Dataset

An Implementation of Fatigue Driving Detect, Huawei Cloud Track, 18th Challenge Cup

demo repository for CODE-AI-2022 project. Contains pre-build and pre-release version of project code.

Implementation of a system to detect fatigue using EAR (Eye Aspect Ratio).

This is the repository of the journal paper: Neural networks for fatigue crack propagation predictions in real-time under uncertainty - Giannella et al.

Code and data for "Advanced Learner Assistance System's (ALAS) recent results" (IEEE, 2021) & "Real-time Dual-feature Mental Fatigue State SVM Classification using EEG Delta Bandpower" (BSN, 2023)

fatigue detect rknn/onnx model deploy in rk3568 npu（ROCK 3A）

Neural architecture search framework based on reinforcement learning:"A Novel Approach to Detecting Muscle Fatigue Based on sEMG by Using Neural Architecture Search Framework"

An improved multiscale sample entropy algorithm to extract signal features: "Analysis of fatigue in the biceps brachii by using rapid refined composite multiscale sample entropy"

Fatigue detection using blinking frequency and duration

Human Facial Fatigue Detection through 3D ResNet with Non-local Attention

疲劳闭眼检测demo

[WIP] - SUTD 2020 10.009 The Digital World 1D Project

移动端实时疲劳驾驶检测

Driver fatigue detection based on eye state analysis

DFDS is a raspberry pi system that detects driver's fatigue and alerts driver through audio visual ques .The system also sends signal to android app which sends distress message to a predefined contact