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Emotions

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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...

A Machine Learning Approach for Predicting Non-Suicidal Self-Injury in Young Adults.

Sensors (Basel, Switzerland)
Artificial intelligence techniques were explored to assess the ability to anticipate self-harming behaviour in the mental health context using a database collected by an app previously designed to record the emotional states and activities of a group...

Research on Chinese Speech Emotion Recognition Based on Deep Neural Network and Acoustic Features.

Sensors (Basel, Switzerland)
In recent years, the use of Artificial Intelligence for emotion recognition has attracted much attention. The industrial applicability of emotion recognition is quite comprehensive and has good development potential. This research uses voice emotion ...

The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems.

Scientific reports
This work focuses on facial processing, which refers to artificial intelligence (AI) systems that take facial images or videos as input data and perform some AI-driven processing to obtain higher-level information (e.g. a person's identity, emotions,...

Music Emotion Classification Method Based on Deep Learning and Explicit Sparse Attention Network.

Computational intelligence and neuroscience
In order to improve the accuracy of music emotion recognition and classification, this study combines an explicit sparse attention network with deep learning and proposes an effective emotion recognition and classification method for complex music da...

Music Emotion Classification Method Based on Deep Learning and Improved Attention Mechanism.

Computational intelligence and neuroscience
Since the existing music emotion classification researches focus on the single-modal analysis of audio or lyrics, the correlation among models are neglected, which lead to partial information loss. Therefore, a music emotion classification method bas...