Modeling of facial expression and emotion for human communication system

Displays ◽  
1996 ◽  
Vol 17 (1) ◽  
pp. 15-25 ◽  
Author(s):  
Shigeo Morishima
Keyword(s):  
Facial Expression ◽  
Communication System ◽  
Human Communication

How to create a human communication system

2017 ◽  
Vol 18 (3) ◽  
pp. 314-329 ◽  
Author(s):  
Casey J. Lister ◽  
Nicolas Fay
Keyword(s):  
Theoretical Model ◽  
Communication System ◽  
Communication Systems ◽  
Experimental Studies ◽  
Human Communication ◽  
Content Type ◽  
Sign Systems ◽  
The Creation ◽  
Interactive Feedback ◽  
Single Modality

Following a synthesis of naturalistic and experimental studies of language creation, we propose a theoretical model that describes the process through which human communication systems might arise and evolve. Three key processes are proposed that give rise to effective, efficient and shared human communication systems: (1) motivated signs that directly resemble their meaning facilitate cognitive alignment, improving communication success; (2) behavioral alignment onto an inventory of shared sign-to-meaning mappings bolsters cognitive alignment between interacting partners; (3) sign refinement, through interactive feedback, enhances the efficiency of the evolving communication system. By integrating the findings across a range of diverse studies, we propose a theoretical model of the process through which the earliest human communication systems might have arisen and evolved. Importantly, because our model is not bound to a single modality it can describe the creation of shared sign systems across a range of contexts, informing theories of language creation and evolution.

How to Bootstrap a Human Communication System

2013 ◽  
Vol 37 (7) ◽  
pp. 1356-1367 ◽  
Author(s):  
Nicolas Fay ◽  
Michael Arbib ◽  
Simon Garrod
Keyword(s):  
Communication System ◽  
Human Communication

Why semiotics, why poetry?

Semiotica ◽  
2015 ◽  
Vol 2015 (207) ◽  
pp. 443-450 ◽  
Author(s):  
Terry J. Prewitt
Keyword(s):  
Communication System ◽  
Human Communication ◽  
The Everyday ◽  
Per Se ◽  
Symbol Use

AbstractGiambattista Vico’s philosophy foresaw a very postmodern sense of language, first as the underlying logical capacity for what Peirce called the symbolic argument, and second as a communication system per se. And in our view, much of these higher sign processes, especially in the everyday symbol use of human communication, is based in metaphor, very much in Vico’s notion of the term. This essay explores the dynamics of sign ordinary process through poetry, referencing also Vico’s synthesis of understanding and creativity, and the connection of poetry to the earliest Western philosophies.

A Systems Model of Communication Processes

1978 ◽  
Vol 8 (4) ◽  
pp. 321-342 ◽  
Author(s):  
C. G. Bruckmann
Keyword(s):  
Communication System ◽  
System Approach ◽  
Communication Studies ◽  
Transfer System ◽  
Human Communication ◽  
Human System ◽  
Model Based ◽  
Systems Model ◽  
Communication Processes ◽  
Commerce Students

In the teaching of communication studies to engineering and commerce students, the time available for teaching communication principles and models did not allow for a detailed study of the various models currently in use. A systems model based on a consistent and limited terminology was developed. This model consists essentially of three subsystems; the human system, the message transfer system, and intermediate receiver-storage-transmitter systems. With the use of this system approach, it is possible to construct models of any human communication system and to use these models to analyze and compare the strengths and weaknesses of the different systems.

scholarly journals The influence of dynamics and speech on understanding humanoid facial expressions

2018 ◽  
Vol 15 (4) ◽  
pp. 172988141878315 ◽  
Author(s):  
Nicole Lazzeri ◽  
Daniele Mazzei ◽  
Maher Ben Moussa ◽  
Nadia Magnenat-Thalmann ◽  
Danilo De Rossi
Keyword(s):  
Facial Expression ◽  
Social Interactions ◽  
Facial Expressions ◽  
Humanoid Robots ◽  
Emotional States ◽  
Human Communication ◽  
Dynamic Stimuli ◽  
3 Dimensional ◽  
Recognition Of Facial Expressions ◽  
Virtual Avatar

Human communication relies mostly on nonverbal signals expressed through body language. Facial expressions, in particular, convey emotional information that allows people involved in social interactions to mutually judge the emotional states and to adjust its behavior appropriately. First studies aimed at investigating the recognition of facial expressions were based on static stimuli. However, facial expressions are rarely static, especially in everyday social interactions. Therefore, it has been hypothesized that the dynamics inherent in a facial expression could be fundamental in understanding its meaning. In addition, it has been demonstrated that nonlinguistic and linguistic information can contribute to reinforce the meaning of a facial expression making it easier to be recognized. Nevertheless, few studies have been performed on realistic humanoid robots. This experimental work aimed at demonstrating the human-like expressive capability of a humanoid robot by examining whether the effect of motion and vocal content influenced the perception of its facial expressions. The first part of the experiment aimed at studying the recognition capability of two kinds of stimuli related to the six basic expressions (i.e. anger, disgust, fear, happiness, sadness, and surprise): static stimuli, that is, photographs, and dynamic stimuli, that is, video recordings. The second and third parts were focused on comparing the same six basic expressions performed by a virtual avatar and by a physical robot under three different conditions: (1) muted facial expressions, (2) facial expressions with nonlinguistic vocalizations, and (3) facial expressions with an emotionally neutral verbal sentence. The results show that static stimuli performed by a human being and by the robot were more ambiguous than the corresponding dynamic stimuli on which motion and vocalization were associated. This hypothesis has been also investigated with a 3-dimensional replica of the physical robot demonstrating that even in case of a virtual avatar, dynamic and vocalization improve the emotional conveying capability.

scholarly journals Prevention of Voice Phishing through Analysis of Telephone Call Voice Characteristic

2018 ◽  
Vol 7 (3.33) ◽  
pp. 62
Author(s):  
Hyung Woo Park ◽  
Jong Bae Kim ◽  
Myung Jin Bae
Keyword(s):  
Wireless Communication ◽  
Facial Expression ◽  
Communication Networks ◽  
Communication System ◽  
The Other ◽  
Phone Call ◽  
Psychological State ◽  
Wireless Communication Networks ◽  
Minimum Data ◽  
The Voice

Using a phone call to morale of others seeking money as voice phishing. When receiving these fraudulent calls are easily embarrassed, and if they get embarrassed, become more easily be cheated. These voice phishing techniques are evolving to be more intelligent and more diverse. Accordingly, the amount of damage and the victim reality is increasing. The phone call, only the minimum data necessary to transfer the information contained is passed to the other party through the wired or wireless communication networks. In the voice of phone call, It is because the communication system mainly conveys the voice and does not convey the facial expression, environmental situation, and psychological state of the other person. Therefore, it is difficult to judge the authenticity in speech of voice phishing over the telephone network, and it is easy to fall into the deceitful deceit of evolving fraud. In this paper, we analyze the characteristics of voice phishing voices, examine their characteristics, and use them to reduce fraud damage. The voices recorded by victims of actual telephone fraud were analyzed and the characteristics were summarized.  

scholarly journals An Evolutive Approach for Smile Recognition in Video Sequences

2015 ◽  
Vol 29 (01) ◽  
pp. 1550006 ◽  
Author(s):  
David Freire-Obregón ◽  
Modesto Castrillón-Santana
Keyword(s):  
Facial Expression ◽  
Principal Component ◽  
Local Binary Patterns ◽  
Video Sequences ◽  
Support Vector ◽  
Expression Recognition ◽  
Human Communication ◽  
Human Machine Interaction ◽  
Computation Cost ◽  
Smile Recognition

Facial expression recognition is one of the most challenging research areas in the image recognition field and has been actively studied since the 70's. For instance, smile recognition has been studied due to the fact that it is considered an important facial expression in human communication, it is therefore likely useful for human–machine interaction. Moreover, if a smile can be detected and also its intensity estimated, it will raise the possibility of new applications in the future. We are talking about quantifying the emotion at low computation cost and high accuracy. For this aim, we have used a new support vector machine (SVM)-based approach that integrates a weighted combination of local binary patterns (LBPs)-and principal component analysis (PCA)-based approaches. Furthermore, we construct this smile detector considering the evolution of the emotion along its natural life cycle. As a consequence, we achieved both low computation cost and high performance with video sequences.

Investigating how cultural transmission leads to the appearance of design without a designer in human communication systems

2010 ◽  
Vol 11 (1) ◽  
pp. 112-137 ◽  
Author(s):  
Hannah Cornish
Keyword(s):  
Recent Work ◽  
Structural Properties ◽  
Communication System ◽  
Cultural Transmission ◽  
Communication Systems ◽  
Shared Task ◽  
Human Communication ◽  
Interactive Communication ◽  
Adaptive Structure ◽  
The Way

Recent work on the emergence and evolution of human communication has focused on getting novel systems to evolve from scratch in the laboratory. Many of these studies have adopted an interactive construction approach, whereby pairs of participants repeatedly interact with one another to gradually develop their own communication system whilst engaged in some shared task. This paper describes four recent studies that take a different approach, showing how adaptive structure can emerge purely as a result of cultural transmission through single chains of learners. By removing elements of interactive communication and focusing only on the way in which language is repeatedly acquired by learners, we hope to gain a better understanding of how useful structural properties of language could have emerged without being intentionally designed or innovated.

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