<span lang="EN-US">In the field of consumer science, customer facial expression is often categorized either as negative or positive. Customer who portrays emotion to a specific product mostly means they reject while with positive more likely purchase product. To observe emotion, many researchers have studied different perspectives and methodologies obtain high accuracy results. Convention...

The accurate recognition of the emotion learners is basis harmonious emotional interaction in intelligent learning environment future classroom. This project focuses on lack research and practical exploration classroom, constructs database pictures expression by employing Convolution Neural Network. Endowing classroom with a self-adaptive property at level computing can promote to learn effecti...

Installation work is to use the space, materials and other elements, through art design, explain audience emotion or concept of form. Language a very important form in way social communication, it can shorten distance between people enhance people's feelings. The emotional orientation guided by creator many ways. This paper focuses on relationship installation works expression, explores how bet...

In this paper, we discuss indirect communication between human and a robot through physiological phenomena, which consist of breathing, heartbeats the body temperature, express robot’s emotion. We set situation with joint attention user to an emotional photo video contents, evaluated whether both user’s response content impression on relationship were changed by expressions robot. The results s...

Facial expression research largely relies on forced-choice paradigms that ask observers to choose a label to describe the emotion expressed, assuming a categorical encoding and decoding process. In contrast, appraisal theories of emotion suggest that cognitive appraisal of a situation and the resulting action tendencies determine facial actions in a complex cumulative and sequential process. It...

This paper proposes a novel approach to emotion recognition of a subject employing 36 selected facial action points marked at specific locations on their faces. Facial expressions obtained from the subjects enacting them are recorded, and the corresponding changes in marked action points are evaluated. The measurements reveal that the action points have wider variations in facial expressions co...

Emotion deficits in schizophrenia have been described since the time of Kraepelin. However, no comprehensive review of clinical emotion studies has ever been conducted. In this work, studies that used diagnostic criteria and were published in English were selected from an extensive PubMed search. Fifty-five studies on emotion expression repeatedly showed that individuals with schizophrenia (IWS...

Delving into the close relationship between sense and emotion mingled with language can be of utmost importance in studies related to management of emotions. In this regard, the current study qualitatively attempted to examine to what extent sense-induced emotions can be recognized, labelled, and managed by individuals. To this end, 36 Iranian males and females were asked to participate in inte...

Most computer models for the automatic recognition of emotion from nonverbal signals (e.g., facial or vocal expression) have adopted a discrete emotion perspective, i.e., they output a categorical emotion from a limited pool of candidate labels. The discrete perspective suffers from practical and theoretical drawbacks that limit the generalizability of such systems. The authors of this chapter ...