AI Medical Compendium Topic:
Emotions

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Landscape Perception Identification and Classification Based on Electroencephalogram (EEG) Features.

International journal of environmental research and public health
This paper puts forward a new method of landscape recognition and evaluation by using aerial video and EEG technology. In this study, seven typical landscape types (forest, wetland, grassland, desert, water, farmland, and city) were selected. Differe...

Unsupervised learning of brain state dynamics during emotion imagination using high-density EEG.

NeuroImage
This study applies adaptive mixture independent component analysis (AMICA) to learn a set of ICA models, each optimized by fitting a distributional model for each identified component process while maximizing component process independence within som...

Motion Capture Sensor-Based Emotion Recognition Using a Bi-Modular Sequential Neural Network.

Sensors (Basel, Switzerland)
Motion capture sensor-based gait emotion recognition is an emerging sub-domain of human emotion recognition. Its applications span a variety of fields including smart home design, border security, robotics, virtual reality, and gaming. In recent year...

Improving Speech Emotion Recognition With Adversarial Data Augmentation Network.

IEEE transactions on neural networks and learning systems
When training data are scarce, it is challenging to train a deep neural network without causing the overfitting problem. For overcoming this challenge, this article proposes a new data augmentation network-namely adversarial data augmentation network...

Image Features of Resting-State Functional Magnetic Resonance Imaging in Evaluating Poor Emotion and Sleep Quality in Patients with Chronic Pain under Artificial Intelligence Algorithm.

Contrast media & molecular imaging
The balanced iterative reducing and clustering using hierarchies (BIRCH) method was adopted to optimize the results of the resting-state functional magnetic resonance imaging (RS-fMRI) to analyze the changes in the brain function of patients with chr...

Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network.

NeuroImage
Task-based and resting-state represent the two most common experimental paradigms of functional neuroimaging. While resting-state offers a flexible and scalable approach for characterizing brain function, task-based techniques provide superior locali...

A Multimodal Emotional Human-Robot Interaction Architecture for Social Robots Engaged in Bidirectional Communication.

IEEE transactions on cybernetics
For social robots to effectively engage in human-robot interaction (HRI), they need to be able to interpret human affective cues and to respond appropriately via display of their own emotional behavior. In this article, we present a novel multimodal ...

A growth mindset about human minds promotes positive responses to intelligent technology.

Cognition
Perceiving minds in technology agents, for example, robots designed with artificial intelligence (AI), is common and crucial in modern life. However, past studies have revealed that robots with a high level of minds elicit polarized responses. From a...

Evaluating comforting messages with the sentiment analysis and social cognition engine.

Applied psychology. Health and well-being
The current study extended the literature on social support by examining the differences in the word content of supportive messages using a free online linguistic tool called sentiment analysis and social cognition engine (SEANCE) across multiple lev...

Tourist Experiences Recommender System Based on Emotion Recognition with Wearable Data.

Sensors (Basel, Switzerland)
The collection of physiological data from people has been facilitated due to the mass use of cheap wearable devices. Although the accuracy is low compared to specialized healthcare devices, these can be widely applied in other contexts. This study pr...