AI Medical Compendium Topic:
Emotions

Clear Filters Showing 421 to 430 of 763 articles

An adversarial discriminative temporal convolutional network for EEG-based cross-domain emotion recognition.

Computers in biology and medicine
Domain adaptation (DA) tackles the problem where data from the source domain and target domain have different underlying distributions. In cross-domain (cross-subject or cross-dataset) emotion recognition based on EEG signals, traditional classificat...

Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning.

Sensors (Basel, Switzerland)
Emotion Recognition is attracting the attention of the research community due to the multiple areas where it can be applied, such as in healthcare or in road safety systems. In this paper, we propose a multimodal emotion recognition system that relie...

The shallow of your smile: the ethics of expressive vocal deep-fakes.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Rapid technological advances in artificial intelligence are creating opportunities for real-time algorithmic modulations of a person's facial and vocal expressions, or 'deep-fakes'. These developments raise unprecedented societal and ethical question...

The Impact of Attention Mechanisms on Speech Emotion Recognition.

Sensors (Basel, Switzerland)
Speech emotion recognition (SER) plays an important role in real-time applications of human-machine interaction. The Attention Mechanism is widely used to improve the performance of SER. However, the applicable rules of attention mechanism are not de...

Minimum spanning tree based graph neural network for emotion classification using EEG.

Neural networks : the official journal of the International Neural Network Society
Emotion classification based on neurophysiology signals has been a challenging issue in the literature. Recent neuroscience findings suggest that brain network structure underlying the different emotions provides a window in understanding human affec...

EEG-based detection of emotional valence towards a reproducible measurement of emotions.

Scientific reports
A methodological contribution to a reproducible Measurement of Emotions for an EEG-based system is proposed. Emotional Valence detection is the suggested use case. Valence detection occurs along the interval scale theorized by the Circumplex Model of...

Perceptions of AI engaging in human expression.

Scientific reports
Though humans should defer to the superior judgement of AI in an increasing number of domains, certain biases prevent us from doing so. Understanding when and why these biases occur is a central challenge for human-computer interaction. One proposed ...

Deceptive Online Content Detection Using Only Message Characteristics and a Machine Learning Trained Expert System.

Sensors (Basel, Switzerland)
This paper considers the use of a post metadata-based approach to identifying intentionally deceptive online content. It presents the use of an inherently explainable artificial intelligence technique, which utilizes machine learning to train an expe...

The importance of developing care-worker-centered robotic aides in long-term care.

Bioethics
Recent research points to the fact that new medical technological innovations are just as relevant in the context of long-term care or chronic care as they are in the context of acute care. In the spirit of the Nuffield Foundation recommendations, th...

Natural language processing for cognitive therapy: Extracting schemas from thought records.

PloS one
The cognitive approach to psychotherapy aims to change patients' maladaptive schemas, that is, overly negative views on themselves, the world, or the future. To obtain awareness of these views, they record their thought processes in situations that c...