Real-time image enhancement for an automatic automobile accident detection through CCTV using deep learning

MS Pillai, G Chaudhary, M Khari, RG Crespo - Soft Computing, 2021 - Springer
Almost all of the automatic accident detection (AAD) system suffers from the tradeoff
between computational overhead and detection accuracy. Recent advances in detection …

An automated hyperparameter tuned deep learning model enabled facial emotion recognition for autonomous vehicle drivers

DK Jain, AK Dutta, E Verdú, S Alsubai… - Image and Vision …, 2023 - Elsevier
The progress of autonomous driving cars is a difficult movement that causes problems
regarding safety, ethics, social acceptance, and cybersecurity. Currently, the automotive …

Аналитический обзор методов распознавания эмоций по выражениям лица человека

ЕВ Рюмина, АА Карпов - Научно-технический вестник …, 2020 - cyberleninka.ru
Распознавание эмоций человека по мимике его лица является важной научно-
исследовательской проблемой, которая охватывает множество областей и дисциплин …

Analytical review of methods for emotion recognition by human face expressions

V Ryumina Elena - Journal Scientific and Technical Of Information …, 2020 - ntv.ifmo.ru
Recognition of human emotions by facial expressions is an important research problem that
covers many areas and disciplines, such as computer vision, artificial intelligence, medicine …

Framework for biometric iris recognition in video, by deep learning and quality assessment of the iris-pupil region

E Garea-Llano, A Morales-Gonzalez - Journal of Ambient Intelligence and …, 2023 - Springer
In the current world scenario the influence of the COVID19 pandemic has reached universal
proportions affecting almost all countries. In this sense, the need has arisen to wear gloves …

All-in-one multicategory ramp loss maximum margin of twin spheres support vector machine

S Lu, H Wang, Z Zhou - Applied Intelligence, 2019 - Springer
Maximum margin of twin spheres support vector machine (MMTSSVM) is effective to deal
with imbalanced data classification problems. However, it is sensitive to outliers because of …

Driver monitoring system based on cnn models: An approach for attention level detection

ME Vaca-Recalde, J Pérez, J Echanobe - … 4–6, 2020, Proceedings, Part II …, 2020 - Springer
Drivers provide a wide range of focus characteristics that can evaluate their attention level
and analyze their behavioral states while driving. This information is critical for the …

[PDF][PDF] Facial expressions recognition in thermal images based on deep learning techniques

YM Elbarawy, NI Ghali, RS El-Sayed - International Journal of Image …, 2019 - academia.edu
Facial expressions are undoubtedly the best way to express human attitude which is crucial
in social communications. This paper gives attention for exploring the human sentimental …

Predictive text analysis using eye blinks

G Chaudhary, PS Lamba, HS Jolly, S Poply… - Computers & Electrical …, 2021 - Elsevier
The current work aims to facilitate interaction with others to those with the inability to perform
activities requiring motor skills or those who cannot speak. It proposes a modus operandi or …

Analyzing Multi-Mode Fatigue Information from Speech and Gaze Data from Air Traffic Controllers

L Xu, S Ma, Z Shen, S Huang, Y Nan - Aerospace, 2023 - mdpi.com
In order to determine the fatigue state of air traffic controllers from air talk, an algorithm is
proposed for discriminating the fatigue state of controllers based on applying multi-speech …