A review on state-of-the-art violence detection techniques

M Ramzan, A Abid, HU Khan, SM Awan, A Ismail… - IEEE …, 2019 - ieeexplore.ieee.org
With the rapid growth of surveillance cameras to monitor the human activity demands such
system which recognize the violence and suspicious events automatically. Abnormal and …

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 …

A design methodology for affective Virtual Reality

N Dozio, F Marcolin, GW Scurati, L Ulrich… - International Journal of …, 2022 - Elsevier
In the era of 'metaverse', virtual environments are gaining popularity among new multimedia
contents and are also recognized as a valuable means to deliver emotional content. This is …

Emotionmeter: A multimodal framework for recognizing human emotions

WL Zheng, W Liu, Y Lu, BL Lu… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we present a multimodal emotion recognition framework called EmotionMeter
that combines brain waves and eye movements. To increase the feasibility and wearability …

Survey on emotional body gesture recognition

F Noroozi, CA Corneanu, D Kamińska… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …

Real-time movie-induced discrete emotion recognition from EEG signals

YJ Liu, M Yu, G Zhao, J Song, Y Ge… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Recognition of a human's continuous emotional states in real time plays an important role in
machine emotional intelligence and human-machine interaction. Existing real-time emotion …

imigue: An identity-free video dataset for micro-gesture understanding and emotion analysis

X Liu, H Shi, H Chen, Z Yu, X Li… - Proceedings of the …, 2021 - openaccess.thecvf.com
We introduce a new dataset for the emotional artificial intelligence research: identity-free
video dataset for micro-gesture understanding and emotion analysis (iMiGUE). Different …

Cross-subject EEG emotion recognition combined with connectivity features and meta-transfer learning

J Li, H Hua, Z Xu, L Shu, X Xu, F Kuang… - Computers in biology and …, 2022 - Elsevier
In recent years, with the rapid development of machine learning, automatic emotion
recognition based on electroencephalogram (EEG) signals has received increasing …

Analytical mapping of opinion mining and sentiment analysis research during 2000–2015

R Piryani, D Madhavi, VK Singh - Information Processing & Management, 2017 - Elsevier
The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

SparseDGCNN: Recognizing emotion from multichannel EEG signals

G Zhang, M Yu, YJ Liu, G Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Emotion recognition from EEG signals has attracted much attention in affective computing.
Recently, a novel dynamic graph convolutional neural network (DGCNN) model was …