AI Medical Compendium Topic:
Emotions

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EEG-Based Emotion Recognition with Similarity Learning Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Emotion recognition is an important field of research in Affective Computing (AC), and the EEG signal is one of useful signals in detecting and evaluating emotion. With the development of the deep learning, the neural network is widely used in constr...

Connectome-based individualized prediction of loneliness.

Social cognitive and affective neuroscience
Loneliness is an increasingly prevalent condition linking with enhanced morbidity and premature mortality. Despite recent proposal on medicalization of loneliness, so far no effort has been made to establish a model capable of predicting loneliness a...

Feeling committed to a robot: why, what, when and how?

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
The paper spells out the rationale for developing means of manipulating and of measuring people's sense of commitment to robot interaction partners. A sense of commitment may lead people to be patient when a robot is not working smoothly, to remain v...

Live human-robot interactive public demonstrations with automatic emotion and personality prediction.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Communication with humans is a multi-faceted phenomenon where the emotions, personality and non-verbal behaviours, as well as the verbal behaviours, play a significant role, and human-robot interaction (HRI) technologies should respect this complexit...

Understanding Mood Disorders in Children.

Advances in experimental medicine and biology
Mood disorders include all types of depression and bipolar disorder, and mood disorders are sometimes called affective disorders. We will discuss newly developing two issues in affective disorders in children and adolescents. Those are the new diagno...

Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolution Neural Network.

Studies in health technology and informatics
Automated emotion recognition plays a vital role in problem solving, decision making and social activities of human life. An emotion is a set of reactions and experience to a given conditions, which are modeled as a linear combination of arousal and ...

Cancers classification based on deep neural networks and emotional learning approach.

IET systems biology
In the present era, enormous factors contribute to causing cancer. So cancer classification cannot rely only on doctor's thoughts. As a result, intelligent algorithms concerning doctor's help are inevitable. Therefore, the authors are motivated to su...

[Emotional and social robots for care, ethical challenges and issues].

Soins; la revue de reference infirmiere
The arrival of robots in our society often arouses fantasies and fears. Emotional and social robots are already being used in healthcare. Ethical analysis is necessary to regulate the use of these objects which are able to simulate dialogues, appeari...

A recurrence quantification analysis-based channel-frequency convolutional neural network for emotion recognition from EEG.

Chaos (Woodbury, N.Y.)
Constructing a reliable and stable emotion recognition system is a critical but challenging issue for realizing an intelligent human-machine interaction. In this study, we contribute a novel channel-frequency convolutional neural network (CFCNN), com...

Depression Severity Classification from Speech Emotion.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Major Depressive Disorder (MDD) is a common psychiatric illness. Automatically classifying depression severity using audio analysis can help clinical management decisions during Deep Brain Stimulation (DBS) treatment of MDD patients. Leveraging the l...