• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.313-323
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• 2019

For the actors on video, facial expression acting can easily become 'forced facial expression' or 'over-acting'. Also, if self-restraint is emphasized too much, then it becomes 'flat acting' with insufficient emotions. By bringing forth questions in regard to such facial expression acting methods, this study analyzed the facial expression acting of the actors in genre dramas with strong commercial aspects. In conclusion, the facial expression acting methods of the actors in genre dramas were being conducted in a typical way. This means that in visual conventions of video acting, the aesthetic standard has become the important standard in the facial expression acting of the actors. In genre dramas, the emotions of the characters are often revealed in close-up shots. Within the close-up shot, the most important expressive medium in a 'zoomed-in face' is the 'pupil of the eye', and emotions are mostly expressed through the movements of the eye and muscles around it. The second most important expressive medium is the 'mouth'. The differences in the degree of opening and closing the mouth convey diverse emotions along with the expression of the 'eye'. In addition, tensions in the facial muscles greatly hinder the expression of emotions, and the movement of facial muscles must be minimized to prevent excessive wrinkles from forming on the surface of the face. Facial expressions are not completed just with the movement of the muscles. Ultimately, the movement of the muscle is the result of emotions. Facial expression acting takes place after having emotional feelings. For this, the actor needs to go through the process of 'personalization' of a character, such as 'emotional memory', 'concentration' and 'relaxation' which are psychological acting techniques of Stanislavsky. Also, the characteristics of close-up shots that visually reveal the 'inner world' should be recognized. In addition, it was discovered that the facial expression acting is the reaction acting that provides the important point in the unfolding of narratives, and that the method of facial expression and the size of the shots required for the actors are different depending on the roles of main and supporting characters.

• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.411-419
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• 2024

The final purpose of this study is to find a method of projecting the characteristics and attractiveness of actual actor's facial expressions onto avatars based on facial capture technology to improve facial expressions of digital actors. Metaverse performances can create various situations without time and space constraints, providing new cultural experiences to the audience watching them. However, it is also true that in current metaverse performances, digital actors' facial expressions are partially vulnerable to conveying emotions. It also acts as one of the factors that interfere with the audience's immersion. One of the problems is that not all avatars have unique characteristics outwardly, so the lack of differentiation is also one of the problems. To overcome these limitations, we propose a method of modeling the actual actor's facial expressions with 3D scans to create a morph target and applying it to avatars using facial capture technology.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.408-416
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• 2017

This researcher looked at the characteristics of "$N\bar{a}tya$ $\acute{s}\bar{a}stra$" acting techniques focused on body expressions and sought to utilize it as training method for modern actors. 'Body postponement as a symbol' is a key characteristic of "$N\bar{a}tya$ $\acute{s}\bar{a}stra$" acting techniques, and each facial expression, gesture, and movement performed by an actor has a specific meaning. Therefore, the study on "$N\bar{a}tya$ $\acute{s}\bar{a}stra$" has been treated as a major study mainly in the non-realistic expression style or the body-centered acting theory. Therefore, a study on "$N\bar{a}tya$ $\acute{s}\bar{a}stra$" acting techniques was mainly dealt with as a major research subject in the nonrealistic expression style or body-centered acting theory. This study, on the other hand, emphasized the importance of research on the utilization plan of actor training, which can be usually used in realistic plays as well as non-realistic plays. According to psychologists such as Damasio and Eckman, internal impulses can also be triggered through expressions and actions associated with emotions. In addition, not only acting through the actor's inner impulse, but also expression of the actor's faithful external emotion can trigger the emotion of the audience. Such a case can be a psychological basis that "$N\bar{a}tya$ $\acute{s}\bar{a}stra$" acting techniques, which defines rasa and expresses it physically, can be used as a methodology to enhance inner truth. Therefore, the study on the actor training utilizing ing "$N\bar{a}tya$ $\acute{s}\bar{a}stra$" can be applied as an effective approach in the study of contemporary acting theory which intends to integrate inner impulse and external expression.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.154-162
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• 2012

Facial expression and gesture of the actors can be magnified or understated depending on the size of the camera framing. The direction, quality, and quantity of the lighting can also make the actors look different. That's why we have to deliberate how to photograph the actors who will be projected on the screen. This thesis shows the way of improving performance and emphasizing each character with camera and lighting. You will also find out how visual elements influence the actors and their performances.

• Journal of Korea Multimedia Society
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• v.18 no.2
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• pp.253-259
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• 2015

The spread of smartphones enabled the two-way communication through the Internet, and character emoticons added fun and comfort to communication among users. To figure out laughter-arousing factors, a survey about emoticon designs of Kakaotalk Itemstore was conducted, targeting university students in their twenties. An interaction of 'user-preferred emoticons' and 'laughter-arousing emoticons' was analyzed. 90% of 'user-preferred emoticons' were 'humorous emoticons', and 84% of respondents answered that there is a relationship between 'user-preferred emoticons' and 'laughter-arousing emoticons'. Consequently, a high interaction between the 'rank of emoticons' and 'laughter-arousing emoticons' was derived. Also, factors of laughter-arousing emoticons were analyzed by studying the ranks of emoticon from 1st to 8th of Kakaotalk Itemstore. Two-divisional figures reminding pure kids, maximization of emotional expression by omission or exaggeration of mouth, and smoothness by concave curves aroused laughter. Intuitively understandable gestures were employed in terms of action. Furthermore, two-divisional figures' acting with comparably small body, hands and foot to their head, and people-mimicking motions of animals with cuteness and familiarity enabled arousal of laughter. In facial expressions, humorous articulation of sad, busy or mad expression enabled positive communion among users.

• Journal of Internet Computing and Services
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• v.12 no.6
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• pp.83-94
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• 2011

Main researching issue in affective computing is to give a machine the ability to recognize the emotion of a person and to react it properly. Efforts in that direction have mainly focused on facial and oral cues to get emotions. Postures have been recently considered as well. This paper aims to discriminate emotions posture by identifying and measuring the saliency of posture features that play a role in affective expression. To do so, affective postures from human subjects are first collected using a motion capture system, then emotional features in posture are described with spatial ones. Through standard statistical techniques, we verified that there is a statistically significant correlation between the emotion intended by the acting subjects, and the emotion perceived by the observers. Discriminant Analysis are used to build affective posture predictive models and to measure the saliency of the proposed set of posture features in discriminating between 6 basic emotional states. The evaluation of proposed features and models are performed using a correlation between actor-observer's postures set. Quantitative experimental results show that proposed set of features discriminates well between emotions, and also that built predictive models perform well.