AI Medical Compendium Topic:
Emotions

Clear Filters Showing 431 to 440 of 763 articles

Emotion Recognition Based on EEG Using Generative Adversarial Nets and Convolutional Neural Network.

Computational and mathematical methods in medicine
Emotion recognition plays an important role in the field of human-computer interaction (HCI). Automatic emotion recognition based on EEG is an important topic in brain-computer interface (BCI) applications. Currently, deep learning has been widely us...

Subject-Independent Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network.

IEEE/ACM transactions on computational biology and bioinformatics
Affective computing is one of the key technologies to achieve advanced brain-machine interfacing. It is increasingly concerning research orientation in the field of artificial intelligence. Emotion recognition is closely related to affective computin...

Music video emotion classification using slow-fast audio-video network and unsupervised feature representation.

Scientific reports
Affective computing has suffered by the precise annotation because the emotions are highly subjective and vague. The music video emotion is complex due to the diverse textual, acoustic, and visual information which can take the form of lyrics, singer...

Detection of Baseline Emotion in Brow Lift Patients Using Artificial Intelligence.

Aesthetic plastic surgery
BACKGROUND: The widespread popularity of browlifts and blepharoplasties speaks directly to the importance that patients place on the periorbital region of the face. In literature, most esthetic outcomes are based on instinctive analysis of the esthet...

Improving Human-Robot Interaction by Enhancing NAO Robot Awareness of Human Facial Expression.

Sensors (Basel, Switzerland)
An intriguing challenge in the human-robot interaction field is the prospect of endowing robots with emotional intelligence to make the interaction more genuine, intuitive, and natural. A crucial aspect in achieving this goal is the robot's capabilit...

The Implementation and Evaluation of Individual Preference in Robot Facial Expression Based on Emotion Estimation Using Biological Signals.

Sensors (Basel, Switzerland)
Recently, robot services have been widely applied in many fields. To provide optimum service, it is essential to maintain good acceptance of the robot for more effective interaction with users. Previously, we attempted to implement facial expressions...

Emotion Correlation Mining Through Deep Learning Models on Natural Language Text.

IEEE transactions on cybernetics
Emotion analysis has been attracting researchers' attention. Most previous works in the artificial-intelligence field focus on recognizing emotion rather than mining the reason why emotions are not or wrongly recognized. The correlation among emotion...

Intentions with actions: The role of intentionality attribution on the vicarious sense of agency in Human-Robot interaction.

Quarterly journal of experimental psychology (2006)
Sense of Agency (SoA) is the feeling of control over one's actions and their consequences. In social contexts, people experience a "vicarious" SoA over other humans' actions; however, the phenomenon disappears when the other agent is a computer. This...

Stimuli-Aware Visual Emotion Analysis.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Visual emotion analysis (VEA) has attracted great attention recently, due to the increasing tendency of expressing and understanding emotions through images on social networks. Different from traditional vision tasks, VEA is inherently more challengi...