logo
ResearchBunny Logo
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving

Engineering and Technology

Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving

K. Koch, M. Maritsch, et al.

This groundbreaking research by Kevin Koch, Martin Maritsch, Eva van Weenen, Stefan Feuerriegel, Matthias Pfäffli, Elgar Fleisch, Wolfgang Weinmann, and Felix Wortmann showcases an innovative machine learning system for predicting critical blood alcohol concentration levels using driver monitoring cameras. With impressive accuracy in detecting intoxication, this study could revolutionize drunk driving detection and prevention.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Using machine learning to understand social isolation and loneliness in schizophrenia, bipolar disorder, and the community
Psychology

Using machine learning to understand social isolation and loneliness in schizophrenia, bipolar disorder, and the community

S. J. Abplanalp, M. F. Green, et al.

Machine-learning algorithms for asthma, COPD, and lung cancer risk assessment using circulating microbial extracellular vesicle data and their application to assess dietary effects
Medicine and Health

Machine-learning algorithms for asthma, COPD, and lung cancer risk assessment using circulating microbial extracellular vesicle data and their application to assess dietary effects

A. Mcdowell, J. Kang, et al.

Exploring multiyear-to-decadal North Atlantic sea level predictability and prediction using machine learning
Earth Sciences

Exploring multiyear-to-decadal North Atlantic sea level predictability and prediction using machine learning

Q. Gu, L. Zhang, et al.

Using machine learning of computerized vocal expression to measure blunted vocal affect and alogia
Psychology

Using machine learning of computerized vocal expression to measure blunted vocal affect and alogia

A. S. Cohen, C. R. Cox, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny