Driver fatigue detection based on eye state analysis

移动端实时疲劳驾驶检测

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

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

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"

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).

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

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

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

Driver Behavior Collection Dataset

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

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)