Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles

Z Hu, S Lou, Y **ng, X Wang, D Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

[HTML][HTML] Electrocardiogram-based emotion recognition systems and their applications in healthcare—a review

MA Hasnul, NAA Aziz, S Alelyani, M Mohana, AA Aziz - Sensors, 2021 - mdpi.com
Affective computing is a field of study that integrates human affects and emotions with
artificial intelligence into systems or devices. A system or device with affective computing is …

A study on computer vision for facial emotion recognition

ZY Huang, CC Chiang, JH Chen, YC Chen… - Scientific reports, 2023 - nature.com
Artificial intelligence has been successfully applied in various fields, one of which is
computer vision. In this study, a deep neural network (DNN) was adopted for Facial emotion …

Bosses without a heart: socio-demographic and cross-cultural determinants of attitude toward Emotional AI in the workplace

P Mantello, MT Ho, MH Nguyen, QH Vuong - AI & society, 2023 - Springer
Biometric technologies are becoming more pervasive in the workplace, augmenting
managerial processes such as hiring, monitoring and terminating employees. Until recently …

Flexible emotion regulation: How situational demands and individual differences influence the effectiveness of regulatory strategies

D Kobylińska, P Kusev - Frontiers in psychology, 2019 - frontiersin.org
The number of studies and theoretical contributions on emotion regulation has grown
rapidly. In this article we describe the concept of flexible emotion regulation. We argue that …

Virtual reality for emotion elicitation–a review

R Somarathna, T Bednarz… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Emotions are multifaceted phenomena that affect our behaviour, perception, and cognition.
Increasing evidence indicates that induction mechanisms play a crucial role in triggering …

Multimodal emotion recognition on RAVDESS dataset using transfer learning

C Luna-Jiménez, D Griol, Z Callejas, R Kleinlein… - Sensors, 2021 - mdpi.com
Emotion Recognition is attracting the attention of the research community due to the multiple
areas where it can be applied, such as in healthcare or in road safety systems. In this paper …

[HTML][HTML] Evolving concepts of emotion and motivation

KC Berridge - Frontiers in psychology, 2018 - frontiersin.org
This review takes a historical perspective on concepts in the psychology of motivation and
emotion, and surveys recent developments, debates and applications. Old debates over …

Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches

LS Khoo, MK Lim, CY Chong, R McNaney - Sensors, 2024 - mdpi.com
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …

The importance of human emotions for wildlife conservation

NM Castillo-Huitrón, EJ Naranjo, D Santos-Fita… - Frontiers in …, 2020 - frontiersin.org
Animals have always been important for human life due to the ecological, cultural, and
economic functions that they represent. This has allowed building several kinds of …