AI Medical Compendium Topic:
Emotions

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Using machine learning to investigate the public's emotional responses to work from home during the COVID-19 pandemic.

The Journal of applied psychology
According to event system theory (EST; Morgeson et al., Academy of Management Review, 40, 2015, 515-537), the coronavirus disease 2019 (COVID-19) pandemic and resultant stay-at-home orders are novel, critical, and disruptive events at the environment...

Speech emotion recognition based on transfer learning from the FaceNet framework.

The Journal of the Acoustical Society of America
Speech plays an important role in human-computer emotional interaction. FaceNet used in face recognition achieves great success due to its excellent feature extraction. In this study, we adopt the FaceNet model and improve it for speech emotion recog...

Deep learning based analysis of sentiment dynamics in online cancer community forums: An experience.

Health informatics journal
Online health communities (OHC) provide various opportunities for patients with chronic or life-threatening illnesses, especially for cancer patients and survivors. A better understanding of the sentiment dynamics of patients in OHCs can help in the ...

Machine-learning approaches to classify and understand emotion states in mice.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Using Artificial Intelligence to Measure Facial Expression following Facial Reanimation Surgery.

Plastic and reconstructive surgery
Social interactions are largely dependent on the interpretation of information conveyed through facial expressions. Although facial reanimation seeks restoration of the facial expression of emotion, outcome measures have not addressed this directly. ...

A Machine Learning Approach to Relationships Among Alexithymia Components.

Psychiatria Danubina
BACKGROUND: The aim of this paper is to explore the network structures of alexithymia components and compare results with relevant prior literature.

Emotion Recognition with Refined Labels for Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The traditional emotion classification framework usually fits all the features segments of the same trial to a fixed annotation. Considering the fact that emotion is a reaction to stimuli that lasts for varied periods, we argue that the indiscriminat...

Emerging Clinical Technology: Application of Machine Learning to Chronic Pain Assessments Based on Emotional Body Maps.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics
Depression and anxiety co-occur with chronic pain, and all three are thought to be caused by dysregulation of shared brain systems related to emotional processing associated with body sensations. Understanding the connection between emotional states,...