AIMC Topic: Emotions

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Effect of robot's vertical body movement on its perceived emotion: A preliminary study on vertical oscillation and transition.

PloS one
The emotion expressions of social robots are some of the most important developments in recent studies on human-robot interactions (HRIs). Several research studies have been conducted to assess effective factors to improve the quality of emotion expr...

Weighted Joint Sentiment-Topic Model for Sentiment Analysis Compared to ALGA: Adaptive Lexicon Learning Using Genetic Algorithm.

Computational intelligence and neuroscience
Latent Dirichlet Allocation (LDA) is an approach to unsupervised learning that aims to investigate the semantics among words in a document as well as the influence of a subject on a word. As an LDA-based model, Joint Sentiment-Topic (JST) examines th...

Evaluating Ensemble Learning Methods for Multi-Modal Emotion Recognition Using Sensor Data Fusion.

Sensors (Basel, Switzerland)
Automatic recognition of human emotions is not a trivial process. There are many factors affecting emotions internally and externally. Expressing emotions could also be performed in many ways such as text, speech, body gestures or even physiologicall...

Comparative Analysis of Aesthetic Emotion of Dance Movement: A Deep Learning Based Approach.

Computational intelligence and neuroscience
Dance is a unique art with the human body movement as the main means, but dance is not limited to the human body movement itself. Like any art, dance is the product of human social behavior and a romantic behavior of human thoughts and emotions in th...

Exploring the Chinese Public's Perception of Omicron Variants on Social Media: LDA-Based Topic Modeling and Sentiment Analysis.

International journal of environmental research and public health
The COVID-19 pandemic caused by SARS-CoV-2 is still raging. Similar to other RNA viruses, SARS-COV-2 is constantly mutating, which leads to the production of many infectious and lethal strains. For instance, the omicron variant detected in November 2...

Understanding Emotions in Children with Developmental Disabilities during Robot Therapy Using EDA.

Sensors (Basel, Switzerland)
Recent technological advancements have led to the emergence of supportive robotics to help children with developmental disabilities become independent. In conventional research, in robot therapy, experiments are often conducted by operating the robot...

Aesthetic Characteristics of Dance Based on Few-Shot Learning and Neural Networks.

Computational intelligence and neuroscience
Dance is constantly discovering truth, goodness, and beauty in human social life, spreading truth, goodness, and beauty, and fully expressing the artistic pursuit of dance beauty. It shapes different dance images, expresses the aesthetic consciousnes...

Microblog User Emotion Analysis Method Based on Improved Hierarchical Attention Mechanism and BiLSTM.

Computational intelligence and neuroscience
The goal of Chinese fine-grained emotion analysis is to identify the target words corresponding to fine-grained elements from sentences and determine the corresponding emotional polarity for the target words. Aiming at the problem that the current Si...

Intelligent Analysis of Exercise Health Big Data Based on Deep Convolutional Neural Network.

Computational intelligence and neuroscience
In this paper, the algorithm of the deep convolutional neural network is used to conduct in-depth research and analysis of sports health big data, and an intelligent analysis system is designed for the practical process. A convolutional neural networ...

The minimum regret path problem on stochastic fuzzy time-varying networks.

Neural networks : the official journal of the International Neural Network Society
In this paper, we introduce a stochastic fuzzy time-varying minimum regret path problem (SFTMRP), which combines the characteristics of the min-max regret path and maximum probability path as a variant of the stochastic fuzzy time-varying shortest pa...