The system being described in the paper presents a Web interface for a fully automatic audio-video human emotion recognition. The analysis is focused on the set of six basic emotions plus the neutral type. Different classifiers are involved in the process of face detection (AdaBoost), facial expression recognition (SVM and other models) and emotion recognition from speech (GentleBoost). The Act...

In this position paper, we address three topics regarding the use of users’ facial expression to study emotion in HCI: theories of emotion as basis for research, EMG measures of facial muscles to study users’ emotions and application of emotion recognition methods in user experience studies.

Facial Emotion Expressions plays an important role in interpersonal relations.This is because human convey lot of information visually than verbally.To automate recognition of emotion state,machine should taught to understand facial guestures.In this paper we classify emotion expression through Support Vector Machine(SVM) & Hidden Markov Model (HMM),then Hidden Markov Model is optimized using G...

OBJECT Bipolar disorder (BD) is associated with abnormalities in emotional competence. One of the main aspects of this competency is emotion recognition which is presented in the face. This study aimed to evaluate facial emotion recognition in adolescents with bipolar disorder when they are free of acute symptoms. METHOD Thirty patients diagnosed with BD aged 12 to 18 were selected from a lar...

Objective: Previous studies have found that oxytocin (OXT) can improve the recognition of emotional facial expressions; it has been proposed that this effect is mediated by an increase in attention to the eye-region of faces. Nevertheless, evidence in support of this claim is inconsistent, and few studies have directly tested the effect of oxytocin on emotion recognition via altered eye-gaze. M...

Initial reports of emotion recognition in Huntington's disease (HD) found disproportionate impairments in recognising disgust. Not all subsequent studies have found this pattern, and a review of the literature to date shows that marked impairments in recognising anger are also often seen in HD. However, the majority of studies have based their conclusions on a single test of facial expression r...

BACKGROUND A small number of previous studies have provided evidence that cocaine users (CU) exhibit impairments in complex social cognition tasks, while the more basic facial emotion recognition is widely unaffected. However, prosody and cross-modal emotion processing has not been systematically investigated in CU so far. Therefore, the aim of the present study was to assess complex multisenso...

Facial emotion recognition is one of the most important cognitive functions that our brain performs quite efficiently. State of the art facial emotion recognition techniques are mostly performance driven and do not consider the cognitive relevance of the model. This project is an attempt to look at the task of emotion recognition using deep belief networks which is cognitively very appealing an...

— Emotions play a crucial role in person to person interaction. In recent years, there has been a growing interest in improving all aspects of interaction between humans and computers. The ability to understand human emotions is desirable for the computer in several applications especially by observing facial expressions. This paper explores a ways of human-computer interaction that enable the ...

This paper discusses the application of feature extraction of facial expressions with combination of neural network for the recognition of different facial emotions (happy, sad, angry, fear, surprised, neutral etc..). Humans are capable of producing thousands of facial actions during communication that vary in complexity, intensity, and meaning. This paper analyses the limitations with existing...