Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion

JZ Wang, S Zhao, C Wu, RB Adams… - Proceedings of the …, 2023 - ieeexplore.ieee.org
The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …

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 …

Benchmarking Micro-action Recognition: Dataset, Method, and Application

D Guo, K Li, B Hu, Y Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Micro-action is an imperceptible non-verbal behaviour characterised by low-intensity
movement. It offers insights into the feelings and intentions of individuals and is important for …

MAC 2024: Micro-Action Analysis Grand Challenge

D Guo, X Li, K Li, H Chen, J Hu, G Zhao… - Proceedings of the …, 2024 - dl.acm.org
This is the overview paper for the Micro-Action Analysis Grand Challenge hosted at ACM
Multimedia 2024. In recent years, a growing trend towards deeper understanding of human …

Enhancing micro gesture recognition for emotion understanding via context-aware visual-text contrastive learning

D Li, B Xing, X Liu - IEEE Signal Processing Letters, 2024 - ieeexplore.ieee.org
Psychological studies have shown that Micro Gestures (MG) are closely linked to human
emotions. MG-based emotion understanding has attracted much attention because it allows …

Mmad: Multi-label micro-action detection in videos

K Li, D Guo, P Liu, G Chen, M Wang - arXiv preprint arXiv:2407.05311, 2024 - arxiv.org
Human body actions are an important form of non-verbal communication in social
interactions. This paper focuses on a specific subset of body actions known as micro …

Micro-gesture online recognition using learnable query points

P Liu, F Wang, K Li, G Chen, Y Wei, S Tang… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we briefly introduce the solution developed by our team, HFUT-VUT, for the
Micro-gesture Online Recognition track in the MiGA challenge at IJCAI 2024. The Micro …

EMO-mg framework: LSTM-based multi-modal emotion detection through electroencephalography signals and micro gestures

L Fang, SP Xing, Z Ma, Z Zhang, Y Long… - … Journal of Human …, 2024 - Taylor & Francis
Human-computer interaction has seen growing interest in emotion detection. To gain deeper
insights into the physiological indicators of emotions, researchers have delved into utilizing …

Towards Robust 3D Pose Transfer with Adversarial Learning

H Chen, H Tang, E Adeli… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Abstract 3D pose transfer that aims to transfer the desired pose to a target mesh is one of the
most challenging 3D generation tasks. Previous attempts rely on well-defined parametric …

Prototype learning for micro-gesture classification

G Chen, F Wang, K Li, Z Wu, H Fan, Y Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we briefly introduce the solution developed by our team, HFUT-VUT, for the
track of Micro-gesture Classification in the MiGA challenge at IJCAI 2024. The task of micro …