Driver's facial expression recognition: A comprehensive survey

I Saadi, TA Abdelmalik, A Hadid, Y El Hillali - Expert Systems with …, 2023 - Elsevier
Driving is an integral part of daily life for millions of people worldwide, and it has a profound
impact on road safety and human health. The emotional state of the driver, including feelings …

[HTML][HTML] A graph neural network with context filtering and feature correction for conversational emotion recognition

C Gan, J Zheng, Q Zhu, DK Jain, V Štruc - Information Sciences, 2024 - Elsevier
Conversational emotion recognition represents an important machine-learning problem with
a wide variety of deployment possibilities. The key challenge in this area is how to properly …

Road feature detection for advance driver assistance system using deep learning

H Nadeem, K Javed, Z Nadeem, MJ Khan, S Rubab… - Sensors, 2023 - mdpi.com
Hundreds of people are injured or killed in road accidents. These accidents are caused by
several intrinsic and extrinsic factors, including the attentiveness of the driver towards the …

A comprehensive survey on communication techniques for the realization of intelligent transportation systems in IoT based smart cities

Y Rajkumar, SVN Santhosh Kumar - Peer-to-Peer Networking and …, 2024 - Springer
Traffic has been on the rise since the past decade that pose threats to driving safety and
traffic efficiency. Intelligent Transportation System (ITS) evolved as an alternative solution to …

An Efficient Compression Method for Lightning Electromagnetic Pulse Signal Based on Convolutional Neural Network and Autoencoder

J Guo, J Wang, F Xiao, X Zhou, Y Liu, Q Ma - Sensors, 2023 - mdpi.com
Advances in technology have facilitated the development of lightning research and data
processing. The electromagnetic pulse signals emitted by lightning (LEMP) can be collected …

Convolutional Neural Networks Using Scalograms for Stress Recognition in Drivers

P Zontone, A Affanni, A Piras… - 2023 31st European …, 2023 - ieeexplore.ieee.org
In this paper we present a system which allows the detection of stress in drivers by analyzing
a two-dimensional representation of their electrodermal activity Skin Potential Response …

운전자의행동과심리분석결과에오토인코더를적용한운전자감정인식모델개발

정은서, 김서희, 홍윤정, 양인범, 우지영 - 한국컴퓨터정보학회논문지, 2023 - dbpia.co.kr
운전 중 감정 인식은 사고를 예방하기 위해 꼭 필요한 과제이다. 더 나아가 자율 주행 시대에서
자동차는 모빌리티의 주체로 운전자와의 감정적인 소통이 더욱 요구되고 있으며 감정 인식 …

Deep Learning based Human Detection using Thermal-RGB Data Fusion for Safe Automotive Guided-Driving

Y Heuijee, D Park - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Every year, the number of drivers increases, resulting in a corresponding increase in traffic
fatalities. In Korea, pedestrian accidents constituted 35.5% of all traffic accidents for the last …

Development of an emotion-based driving assistant to improve safety

M Villanueva Fernández - 2023 - digibuo.uniovi.es
Technology is advancing at a tremendous pace. It has revolutionize the way we live, work,
and interact with the world around us. Rapid advancements across many different fields …

Textual vs Visual Representation-Role of Aesthetics in Human Cognition and Perception

M Tauqeer, S Aslam, I Rafique… - Innovative Computing …, 2023 - journals.umt.edu.pk
Visual representation is better as compared to textual representation in every aspect, either
for a code or for the design of a software product. Writing a code using different …