In this paper, we propose a limbic-based artificial emotional neural network (LiAENN) for a pattern recognition problem. LiAENN is a novel computational neural model of the emotional brain that models emotional situations such as anxiety and confidence in the learning process, the short paths, the forgetting processes, and inhibitory mechanisms of the emotional brain. In the model, the learning...

This paper deals with two main research focuses on Affective Computing: facial emotion recognition and multimodal fusion of affective information coming from different channels. The facial sensing system developed implements an emotional classification mechanism that combines, in a novel and robust manner, the five most commonly used classifiers in the field of affect sensing, obtaining at the ...

AIMS Accurate recognition of facial expressions of emotion is critical in interpersonal interaction but is impaired in alcoholics, even after a period of abstinence. Little is known of whether other drug-dependent populations also show these impairments. This study aimed to investigate facial expression recognition by chronic opiate users. DESIGN An independent group design was used to compar...

Communication between humans deeply relies on our capability of experiencing, expressing, and recognizing feelings. For this reason, research on human-machine interaction needs to focus on the recognition and simulation of emotional states, prerequisite of which is the collection of affective corpora. Currently available datasets still represent a bottleneck because of the difficulties arising ...

We report an experiment to consider the emotional correlates of prudent decision making. In the experiment, we present subjects with lotteries and measure their emotional response with facial recognition software. They then make binary choices between risky lotteries that distinguish prudent from imprudent individuals. They also perform tasks to measure their cognitive ability and a number of p...

Folk psychology advocates the existence of gender differences in socio-cognitive functions such as 'reading' the mental states of others or discerning subtle differences in body-language. A female advantage has been demonstrated for emotion recognition from facial expressions, but virtually nothing is known about gender differences in recognizing bodily stimuli or body language. The aim of the ...

This paper presents a natural and comfortable communication system between human and robot based on synchronization to human emotional state using human facial expression recognition. The system consists of three parts: human emotion recognition, robotic emotion generation, and robotic emotion expression. The robot recognizes human emotion through human facial expressions, and robotic emotion i...

Emotions play a vital role in education. Technological advancement computer vision using deep learning models has improved automatic emotion recognition. In this study, real-time recognition system is developed incorporating novel salient facial features for classroom assessment model. The proposed each are initially detected HOG face recognition, and then performed by training convolutional ne...

facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. in recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. as machine vision and artificial intelligence advan...

For some time the relationship between processing of facial expression and facial identity has been in dispute. We re-examined this relationship and evaluated whether the same relationship characterized both perception and short-term memory. In three experiments we examined perception and memory for realistic, synthetic human faces. Experiment 1 used subjects’ judgments to identify, from a larg...