A systematic review on affective computing: Emotion models, databases, and recent advances

Y Wang, W Song, W Tao, A Liotta, D Yang, X Li, S Gao… - Information …, 2022 - Elsevier
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

[HTML][HTML] Deep 3D human pose estimation: A review

J Wang, S Tan, X Zhen, S Xu, F Zheng, Z He… - Computer Vision and …, 2021 - Elsevier
Abstract Three-dimensional (3D) human pose estimation involves estimating the articulated
3D joint locations of a human body from an image or video. Due to its widespread …

Outlook on human-centric manufacturing towards Industry 5.0

Y Lu, H Zheng, S Chand, W Xia, Z Liu, X Xu… - Journal of Manufacturing …, 2022 - Elsevier
The recent shift to wellbeing, sustainability, and resilience under Industry 5.0 has prompted
formal discussions that manufacturing should be human-centric–placing the wellbeing of …

Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects

S Zhang, Y Yang, C Chen, X Zhang, Q Leng… - Expert Systems with …, 2023 - Elsevier
Emotion recognition has recently attracted extensive interest due to its significant
applications to human-computer interaction. The expression of human emotion depends on …

Emotion recognition from EEG signal focusing on deep learning and shallow learning techniques

MR Islam, MA Moni, MM Islam… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, electroencephalogram-based emotion recognition has become crucial in enabling
the Human-Computer Interaction (HCI) system to become more intelligent. Due to the …

Emotion recognition for human-robot interaction: Recent advances and future perspectives

M Spezialetti, G Placidi, S Rossi - Frontiers in Robotics and AI, 2020 - frontiersin.org
A fascinating challenge in the field of human–robot interaction is the possibility to endow
robots with emotional intelligence in order to make the interaction more intuitive, genuine …

Emotion recognition from unimodal to multimodal analysis: A review

K Ezzameli, H Mahersia - Information Fusion, 2023 - Elsevier
The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …

Facial expression and body gesture emotion recognition: A systematic review on the use of visual data in affective computing

SC Leong, YM Tang, CH Lai, CKM Lee - Computer Science Review, 2023 - Elsevier
Emotion is an important driver of human decision-making and communication. With the
recent rise of human–computer interaction, affective computing has become a trending …

Levels of explainable artificial intelligence for human-aligned conversational explanations

R Dazeley, P Vamplew, C Foale, C Young, S Aryal… - Artificial Intelligence, 2021 - Elsevier
Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …

Gesture recognition system using reduced graphene oxide-enhanced hydrogel strain sensors for rehabilitation training

W Li, S Wu, S Li, X Zhong, X Zhang… - … Applied Materials & …, 2023 - ACS Publications
Gesture recognition systems epitomize a modern and intelligent approach to rehabilitative
training, finding utility in assisted driving, sign language comprehension, and machine …