Brain-computer interface: Advancement and challenges

MF Mridha, SC Das, MM Kabir, AA Lima, MR Islam… - Sensors, 2021 - mdpi.com
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …

How industry 4.0 and sensors can leverage product design: opportunities and challenges

AT Rosário, JC Dias - Sensors, 2023 - mdpi.com
The fourth industrial revolution, also known as Industry 4.0, has led to an increased
transition towards automation and reliance on data-driven innovations and strategies. The …

[HTML][HTML] Examining the effects of emotional valence and arousal on takeover performance in conditionally automated driving

N Du, F Zhou, EM Pulver, DM Tilbury, LP Robert… - … research part C …, 2020 - Elsevier
In conditionally automated driving, drivers have difficulty in takeover transitions as they
become increasingly decoupled from the operational level of driving. Factors influencing …

Psychophysiological responses to takeover requests in conditionally automated driving

N Du, XJ Yang, F Zhou - Accident Analysis & Prevention, 2020 - Elsevier
In SAE Level 3 automated driving, taking over control from automation raises significant
safety concerns because drivers out of the vehicle control loop have difficulty negotiating …

Development and progress in sensors and technologies for human emotion recognition

S Pal, S Mukhopadhyay, N Suryadevara - Sensors, 2021 - mdpi.com
With the advancement of human-computer interaction, robotics, and especially humanoid
robots, there is an increasing trend for human-to-human communications over online …

A multilayer stacking method base on RFE-SHAP feature selection strategy for recognition of driver's mental load and emotional state

J Huang, Y Peng, L Hu - Expert Systems with Applications, 2024 - Elsevier
The driver state monitoring is becoming one of the research hotspots in the field of traffic and
vehicle safety, which can ensure driving safety by monitoring the driver's state. Therefore …

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 …

Application of electroencephalography-based machine learning in emotion recognition: A review

J Cai, R Xiao, W Cui, S Zhang, G Liu - Frontiers in Systems …, 2021 - frontiersin.org
Emotion recognition has become increasingly prominent in the medical field and human-
computer interaction. When people's emotions change under external stimuli, various …

The effects of the driver's mental state and passenger compartment conditions on driving performance and driving stress

VC Magaña, WD Scherz, R Seepold, NM Madrid… - Sensors, 2020 - mdpi.com
Globalization has increased the number of road trips and vehicles. The result has been an
intensification of traffic accidents, which are becoming one of the most important causes of …

Personalized models for facial emotion recognition through transfer learning

M Rescigno, M Spezialetti, S Rossi - Multimedia Tools and Applications, 2020 - Springer
Emotions represent a key aspect of human life and behavior. In recent years, automatic
recognition of emotions has become an important component in the fields of affective …