AIMC Topic: Emotions

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Fusion of Facial Expressions and EEG for Multimodal Emotion Recognition.

Computational intelligence and neuroscience
This paper proposes two multimodal fusion methods between brain and peripheral signals for emotion recognition. The input signals are electroencephalogram and facial expression. The stimuli are based on a subset of movie clips that correspond to four...

Do Intelligent Robots Need Emotion?

Trends in cognitive sciences
What is the place of emotion in intelligent robots? Researchers have advocated the inclusion of some emotion-related components in the information-processing architecture of autonomous agents. It is argued here that emotion needs to be merged with al...

Using a social robot to teach gestural recognition and production in children with autism spectrum disorders.

Disability and rehabilitation. Assistive technology
While it has been argued that children with autism spectrum disorders are responsive to robot-like toys, very little research has examined the impact of robot-based intervention on gesture use. These children have delayed gestural development. We use...

Social skills training for children with autism spectrum disorder using a robotic behavioral intervention system.

Autism research : official journal of the International Society for Autism Research
We designed a robot system that assisted in behavioral intervention programs of children with autism spectrum disorder (ASD). The eight-session intervention program was based on the discrete trial teaching protocol and focused on two basic social ski...

Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data.

BMC medical informatics and decision making
BACKGROUND: Feature selection methods are commonly used to identify subsets of relevant features to facilitate the construction of models for classification, yet little is known about how feature selection methods perform in diffusion tensor images (...

Depressive Symptoms and Their Interactions With Emotions and Personality Traits Over Time: Interaction Networks in a Psychiatric Clinic.

The primary care companion for CNS disorders
OBJECTIVE: Associations between depression, personality traits, and emotions are complex and reciprocal. The aim of this study is to explore these interactions in dynamical networks and in a linear way over time depending on the severity of depressio...

Evaluating deep learning architectures for Speech Emotion Recognition.

Neural networks : the official journal of the International Neural Network Society
Speech Emotion Recognition (SER) can be regarded as a static or dynamic classification problem, which makes SER an excellent test bed for investigating and comparing various deep learning architectures. We describe a frame-based formulation to SER th...

User recommendation in healthcare social media by assessing user similarity in heterogeneous network.

Artificial intelligence in medicine
OBJECTIVE: The rapid growth of online health social websites has captured a vast amount of healthcare information and made the information easy to access for health consumers. E-patients often use these social websites for informational and emotional...

Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets.

Journal of biomedical semantics
BACKGROUND: Analysing public opinions on HPV vaccines on social media using machine learning based approaches will help us understand the reasons behind the low vaccine coverage and come up with corresponding strategies to improve vaccine uptake.

Analysis of facial expressions in parkinson's disease through video-based automatic methods.

Journal of neuroscience methods
BACKGROUND: The automatic analysis of facial expressions is an evolving field that finds several clinical applications. One of these applications is the study of facial bradykinesia in Parkinson's disease (PD), which is a major motor sign of this neu...