AIMC Topic: Emotions

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Stress State Classification Based on Deep Neural Network and Electrodermal Activity Modeling.

Sensors (Basel, Switzerland)
Electrodermal Activity (EDA) has become of great interest in the last several decades, due to the advent of new devices that allow for recording a lot of psychophysiological data for remotely monitoring patients' health. In this work, a novel method ...

EmoKbGAN: Emotion controlled response generation using Generative Adversarial Network for knowledge grounded conversation.

PloS one
Neural open-domain dialogue systems often fail to engage humans in long-term interactions on popular topics such as sports, politics, fashion, and entertainment. However, to have more socially engaging conversations, we need to formulate strategies t...

Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology.

International journal of environmental research and public health
The development potential of China's medical insurance market is huge, and the research on medical insurance demand has always been the focus of academic discussions. As a result, the discipline of behavioral economics is derived, which aims to expla...

Cognitive Depression Detection Cyber-Medical System Based on EEG Analysis and Deep Learning Approaches.

IEEE journal of biomedical and health informatics
Long-term depression and negative emotional cycles affect life quality and work productivity. However, depression is not easy to detect, with current methods mostly relying on scales that make it impossible to quickly and directly measure the severit...

EEG emotion recognition using improved graph neural network with channel selection.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Emotion classification tasks based on electroencephalography (EEG) are an essential part of artificial intelligence, with promising applications in healthcare areas such as autism research and emotion detection in pregnant w...

Human-Computer Interaction with a Real-Time Speech Emotion Recognition with Ensembling Techniques 1D Convolution Neural Network and Attention.

Sensors (Basel, Switzerland)
Emotions have a crucial function in the mental existence of humans. They are vital for identifying a person's behaviour and mental condition. Speech Emotion Recognition (SER) is extracting a speaker's emotional state from their speech signal. SER is ...

A concept for emotion recognition systems for children with profound intellectual and multiple disabilities based on artificial intelligence using physiological and motion signals.

Disability and rehabilitation. Assistive technology
PURPOSE: This study proposes a concept for emotion recognition systems for children with profound intellectual and multiple disabilities (PIMD) based on artificial intelligence (AI) using physiological and motion signals.

A Deep Learning Method Using Gender-Specific Features for Emotion Recognition.

Sensors (Basel, Switzerland)
Speech reflects people's mental state and using a microphone sensor is a potential method for human-computer interaction. Speech recognition using this sensor is conducive to the diagnosis of mental illnesses. The gender difference of speakers affect...

The ecological discourse analysis of news discourse based on deep learning from the perspective of ecological philosophy.

PloS one
Recently, ecological damage and environmental pollution have become increasingly serious. Experts in various fields have started to study related issues from diverse points of view. To prevent the accelerated deterioration of the ecological environme...

An Efficient Machine Learning-Based Emotional Valence Recognition Approach Towards Wearable EEG.

Sensors (Basel, Switzerland)
Emotion artificial intelligence (AI) is being increasingly adopted in several industries such as healthcare and education. Facial expressions and tone of speech have been previously considered for emotion recognition, yet they have the drawback of be...