Design of reliable virtual human facial expressions and validation by healthy people

2020 ◽  
Vol 27 (3) ◽  
pp. 287-299 ◽  
Author(s):  
Arturo S. García ◽  
Patricia Fernández-Sotos ◽  
Miguel A. Vicente-Querol ◽  
Guillermo Lahera ◽  
Roberto Rodriguez-Jimenez ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Healthy People ◽  
Virtual Human

Emotional Expression System Based on Expression Intensity Recognition and Affective Model

2013 ◽  
Vol 461 ◽  
pp. 618-622
Author(s):  
Chuan Wan ◽  
Yan Tao Tian
Keyword(s):  
Facial Expressions ◽  
Affective Computing ◽  
Expression System ◽  
Human Head ◽  
Virtual Human ◽  
Generation Model ◽  
Recognition Of Facial Expressions ◽  
Research Fields ◽  
Emotion Generation ◽  
New Research

Affective computing is an indispensable aspect in harmonious human-computer interaction and artificial intelligence. Making computers have the ability of generating emotions is a challenging task of affective computing. Affective Computing and Artificial Psychology are new research fields that involve computer and emotions, they have the same key research aspect, affective modeling. The paper introduces the basic affective elements, and the representation of affections in a computer. And we will describe an emotion generation model for a multimodal virtual human. The relationship among the emotion, mood and personality are discussed, and the PAD emotion space is used to define the emotion and the mood. We obtain the strength information of each expression component through fuzzy recognition of facial expressions based on Ekman six expression classifications, and take this information as a signal motivating emotion under the intensity-based affective model. Finally, a 3D virtual Human head with facial expressions is designed to show the emotion generation outputs. Experimental results demonstrate that the emotion generation intensity-based model works effectively and meets the basic principle of human emotion generation.

scholarly journals Realistic Facial Expression of Virtual Human Based on Color, Sweat, and Tears Effects

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Mohammed Hazim Alkawaz ◽  
Ahmad Hoirul Basori ◽  
Dzulkifli Mohamad ◽  
Farhan Mohamed
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
Skin Color ◽  
Particle System ◽  
Facial Animation ◽  
Virtual Human ◽  
Coding System ◽  
Animation Industry ◽  
Particle Hydrodynamics ◽  
Fluid Properties

Generating extreme appearances such as scared awaiting sweating while happy fit for tears (cry) and blushing (anger and happiness) is the key issue in achieving the high quality facial animation. The effects of sweat, tears, and colors are integrated into a single animation model to create realistic facial expressions of 3D avatar. The physical properties of muscles, emotions, or the fluid properties with sweating and tears initiators are incorporated. The action units (AUs) of facial action coding system are merged with autonomous AUs to create expressions including sadness, anger with blushing, happiness with blushing, and fear. Fluid effects such as sweat and tears are simulated using the particle system and smoothed-particle hydrodynamics (SPH) methods which are combined with facial animation technique to produce complex facial expressions. The effects of oxygenation of the facial skin color appearance are measured using the pulse oximeter system and the 3D skin analyzer. The result shows that virtual human facial expression is enhanced by mimicking actual sweating and tears simulations for all extreme expressions. The proposed method has contribution towards the development of facial animation industry and game as well as computer graphics.

Control and Coordination of Head, Eyes, and Facial Expressions of Virtual Actors in Virtual Environments

1996 ◽  
Vol 5 (4) ◽  
pp. 402-415
Author(s):  
Sunil K. Singh ◽  
Steven D. Pieper ◽  
Jethran Guinness ◽  
Dan O. Popa
Keyword(s):  
Finite Element ◽  
Virtual Environments ◽  
Facial Expressions ◽  
Inverse Kinematics ◽  
Virtual Human ◽  
Motion Computation ◽  
Key Issues ◽  
Virtual Actors ◽  
Human Actors ◽  
Tissue Deformations

This paper addresses the modeling and computational issues associated with the control and coordination of head, eyes, and facial expressions of virtual human actors. The emphasis, as much as possible, is on using accurate physics-based computations for motion computation. Some key issues discussed in this work include the use of kinematics and inverse kinematics, trajectory planning, and the use of finite element methods to model soft tissue deformations.

Faster Choice-Reaction Times to Positive than to Negative Facial Expressions

2003 ◽  
Vol 17 (3) ◽  
pp. 113-123 ◽  
Author(s):  
Jukka M. Leppänen ◽  
Mirja Tenhunen ◽  
Jari K. Hietanen
Keyword(s):  
Facial Expressions ◽  
Cognitive Processing ◽  
Response Selection ◽  
Reaction Times ◽  
Happy Face ◽  
Response Onset ◽  
Response Execution ◽  
Onset Response ◽  
Positive Stimuli ◽  
Choice Reaction Times

Abstract Several studies have shown faster choice-reaction times to positive than to negative facial expressions. The present study examined whether this effect is exclusively due to faster cognitive processing of positive stimuli (i.e., processes leading up to, and including, response selection), or whether it also involves faster motor execution of the selected response. In two experiments, response selection (onset of the lateralized readiness potential, LRP) and response execution (LRP onset-response onset) times for positive (happy) and negative (disgusted/angry) faces were examined. Shorter response selection times for positive than for negative faces were found in both experiments but there was no difference in response execution times. Together, these results suggest that the happy-face advantage occurs primarily at premotoric processing stages. Implications that the happy-face advantage may reflect an interaction between emotional and cognitive factors are discussed.

Comparable Modulation of the Late Positive Potential by Emotion Regulation in Younger and Older Adults

2010 ◽  
Vol 24 (3) ◽  
pp. 186-197 ◽  
Author(s):  
Sandra J. E. Langeslag ◽  
Jan W. Van Strien
Keyword(s):  
Emotion Regulation ◽  
Facial Expressions ◽  
Age Differences ◽  
Late Positive Potential ◽  
Self Report ◽  
Apparent Discrepancy ◽  
Positive Potential ◽  
Psychophysiological Responses ◽  
Psychophysiological Measures ◽  
Emotional Pictures

It has been suggested that emotion regulation improves with aging. Here, we investigated age differences in emotion regulation by studying modulation of the late positive potential (LPP) by emotion regulation instructions. The electroencephalogram of younger (18–26 years) and older (60–77 years) adults was recorded while they viewed neutral, unpleasant, and pleasant pictures and while they were instructed to increase or decrease the feelings that the emotional pictures elicited. The LPP was enhanced when participants were instructed to increase their emotions. No age differences were observed in this emotion regulation effect, suggesting that emotion regulation abilities are unaffected by aging. This contradicts studies that measured emotion regulation by self-report, yet accords with studies that measured emotion regulation by means of facial expressions or psychophysiological responses. More research is needed to resolve the apparent discrepancy between subjective self-report and objective psychophysiological measures.

Wiser Reasoning and Less Disgust Have the Potential to Better Achieve Suicide Prevention

Crisis ◽  
2020 ◽  
pp. 1-8
Author(s):  
Chao S. Hu ◽  
Jiajia Ji ◽  
Jinhao Huang ◽  
Zhe Feng ◽  
Dong Xie ◽  
...  
Keyword(s):  
High School ◽  
Suicide Prevention ◽  
Cause Of Death ◽  
Facial Expressions ◽  
Emotional Reaction ◽  
Suicide Method ◽  
University Teachers ◽  
Advice Giving ◽  
Prevention Techniques

Abstract. Background: High school and university teachers need to advise students against attempting suicide, the second leading cause of death among 15–29-year-olds. Aims: To investigate the role of reasoning and emotion in advising against suicide. Method: We conducted a study with 130 students at a university that specializes in teachers' education. Participants sat in front of a camera, videotaping their advising against suicide. Three raters scored their transcribed advice on "wise reasoning" (i.e., expert forms of reasoning: considering a variety of conditions, awareness of the limitation of one's knowledge, taking others' perspectives). Four registered psychologists experienced in suicide prevention techniques rated the transcripts on the potential for suicide prevention. Finally, using the software Facereader 7.1, we analyzed participants' micro-facial expressions during advice-giving. Results: Wiser reasoning and less disgust predicted higher potential for suicide prevention. Moreover, higher potential for suicide prevention was associated with more surprise. Limitations: The actual efficacy of suicide prevention was not assessed. Conclusion: Wise reasoning and counter-stereotypic ideas that trigger surprise probably contribute to the potential for suicide prevention. This advising paradigm may help train teachers in advising students against suicide, measuring wise reasoning, and monitoring a harmful emotional reaction, that is, disgust.

Perception of Emotional Expressions in Adults

2016 ◽  
Vol 37 (1) ◽  
pp. 16-23 ◽  
Author(s):  
Chit Yuen Yi ◽  
Matthew W. E. Murry ◽  
Amy L. Gentzler
Keyword(s):  
Facial Expressions ◽  
Negative Mood ◽  
Emotion Perception ◽  
State Level ◽  
Past Research ◽  
Negative Emotionality ◽  
Basic Emotions ◽  
Perceived Intensity ◽  
Trait Level ◽  
Facial Expressions Of Emotion

Abstract. Past research suggests that transient mood influences the perception of facial expressions of emotion, but relatively little is known about how trait-level emotionality (i.e., temperament) may influence emotion perception or interact with mood in this process. Consequently, we extended earlier work by examining how temperamental dimensions of negative emotionality and extraversion were associated with the perception accuracy and perceived intensity of three basic emotions and how the trait-level temperamental effect interacted with state-level self-reported mood in a sample of 88 adults (27 men, 18–51 years of age). The results indicated that higher levels of negative mood were associated with higher perception accuracy of angry and sad facial expressions, and higher levels of perceived intensity of anger. For perceived intensity of sadness, negative mood was associated with lower levels of perceived intensity, whereas negative emotionality was associated with higher levels of perceived intensity of sadness. Overall, our findings added to the limited literature on adult temperament and emotion perception.

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