Cover Image

Real-Time Drivers' Drowsiness Detection and Analysis through Deep Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zaman, ANK, Chatterjee, Prosenjit, Sharma, Rajat
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Human-Computer Interaction Machine Learning Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Airborne Object Detection: A Deep Learning Analysis
by: Chatterjee, Prosenjit, et al.
Published: (2026)

Explain and Monitor Deep Learning Models for Computer Vision using Obz AI
by: Chung, Neo Christopher, et al.
Published: (2025)

MAIA: A Collaborative Medical AI Platform for Integrated Healthcare Innovation
by: Bendazzoli, Simone, et al.
Published: (2025)

How Smart Is Your GUI Agent? A Framework for the Future of Software Interaction
by: Feng, Sidong, et al.
Published: (2026)

Automating Crash Diagram Generation Using Vision-Language Models: A Case Study on Multi-Lane Roundabouts
by: Lu, Xiao, et al.
Published: (2026)

GUI Agents for Continual Game Generation
by: Huang, Yixu, et al.
Published: (2026)

Real-Time Multimodal Data Collection Using Smartwatches and Its Visualization in Education
by: Becerra, Alvaro, et al.
Published: (2025)

ML-EcoLyzer: Quantifying the Environmental Cost of Machine Learning Inference Across Frameworks and Hardware
by: Minoza, Jose Marie Antonio, et al.
Published: (2025)

MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIs
by: Krishnavajjala, Arun, et al.
Published: (2024)

An Empirical Study of Bugs in Data Visualization Libraries
by: Lu, Weiqi, et al.
Published: (2025)

Modified TSception for Analyzing Driver Drowsiness and Mental Workload from EEG
by: Siddhad, Gourav, et al.
Published: (2025)

Scene-Aware Conversational ADAS with Generative AI for Real-Time Driver Assistance
by: Han, Kyungtae, et al.
Published: (2025)

Analysis, Modeling and Design of Personalized Digital Learning Environment
by: Khanal, Sanjaya, et al.
Published: (2024)

How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessions
by: Tang, Ningzhi, et al.
Published: (2026)

The SPACE of AI: Real-World Lessons on AI's Impact on Developers
by: Houck, Brian, et al.
Published: (2025)

The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers
by: Mozannar, Hussein, et al.
Published: (2024)

A Survey on Drowsiness Detection -- Modern Applications and Methods
by: Fu, Biying, et al.
Published: (2024)

Transfer Learning-based Real-time Handgun Detection
by: Elmir, Youssef
Published: (2023)

AURORA: Navigating UI Tarpits via Automated Neural Screen Understanding
by: Khan, Safwat Ali, et al.
Published: (2024)

Generating Proto-Personas through Prompt Engineering: A Case Study on Efficiency, Effectiveness and Empathy
by: Ayach, Fernando, et al.
Published: (2025)

Optimizing LLM Code Suggestions: Feedback-Driven Timing with Lightweight State Bounds
by: Awad, Mohammad Nour Al, et al.
Published: (2025)

Time Warp: The Gap Between Developers' Ideal vs Actual Workweeks in an AI-Driven Era
by: Kumar, Sukrit, et al.
Published: (2025)

Collaborative AI in Sentiment Analysis: System Architecture, Data Prediction and Deployment Strategies
by: Zhang, Chaofeng, et al.
Published: (2024)

AISSA: Implementation and Deployment of an AI-based Student Slides Analysis tool for Academic Presentations
by: Becerra, Alvaro, et al.
Published: (2026)

One Step at a Time: Combining LLMs and Static Analysis to Generate Next-Step Hints for Programming Tasks
by: Birillo, Anastasiia, et al.
Published: (2024)

OpenDriver: An Open-Road Driver State Detection Dataset
by: Liu, Delong, et al.
Published: (2023)

Real-Time Intuitive AI Drawing System for Collaboration: Enhancing Human Creativity through Formal and Contextual Intent Integration
by: Song, Jookyung, et al.
Published: (2025)

CosmoCore Affective Dream-Replay Reinforcement Learning for Code Generation
by: Ravindran, Santhosh Kumar
Published: (2025)

Dynamic Framework for Collaborative Learning: Leveraging Advanced LLM with Adaptive Feedback Mechanisms
by: Tahir, Hassam, et al.
Published: (2026)

Accodemy: AI Powered Code Learning Platform to Assist Novice Programmers in Overcoming the Fear of Coding
by: Aamina, M. A. F., et al.
Published: (2025)

Towards Safer and Understandable Driver Intention Prediction
by: Karuppasamy, Mukilan, et al.
Published: (2025)

SSSUMO: Real-Time Semi-Supervised Submovement Decomposition
by: Rudakov, Evgenii, et al.
Published: (2025)

Real-Time Feedback and Benchmark Dataset for Isometric Pose Evaluation
by: Jaiswal, Abhishek, et al.
Published: (2025)

StreamAvatar: Streaming Diffusion Models for Real-Time Interactive Human Avatars
by: Sun, Zhiyao, et al.
Published: (2025)

Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs
by: Jin, Claire, et al.
Published: (2024)

Comparative Analysis of Large Language Models for the Machine-Assisted Resolution of User Intentions
by: Flerlage, Justus, et al.
Published: (2025)

Beyond the Prompt: An Empirical Study of Cursor Rules
by: Jiang, Shaokang, et al.
Published: (2025)

FeedAIde: Guiding App Users to Submit Rich Feedback Reports by Asking Context-Aware Follow-Up Questions
by: Pourasad, Ali Ebrahimi, et al.
Published: (2026)

VisDocSketcher: Towards Scalable Visual Documentation with Agentic Systems
by: Gomes, Luís F., et al.
Published: (2025)

ChatGPT on the Road: Leveraging Large Language Model-Powered In-vehicle Conversational Agents for Safer and More Enjoyable Driving Experience
by: Bond, Yeana Lee, et al.
Published: (2025)