Changing Facial Expressions Research Articles

Simultaneous control of head pose and expressions in 3D facial keypoint-based GAN

In this work, we present a novel method for simultaneously controlling the head pose and the facial expressions of a given input image using a 3D keypoint-based GAN. Existing methods for controlling head pose and expressions simultaneously are not suitable for real images, or they generate unnatural results because it is not trivial to capture head pose (large changes) and expressions (small changes) simultaneously. In this work, we achieve simultaneous control of head pose and facial expressions by introducing 3D facial keypoints for GAN-based facial image synthesis, unlike the existing 2D landmark-based approach. As a result, our method can handle both large variations due to different head poses and subtle variations due to changing facial expressions faithfully. Furthermore, our model takes audio input as an additional modality for further enhancing the quality of generated images. Our model was evaluated on the VoxCeleb2 dataset to demonstrate its state-of-the-art performance for both facial reenactment and facial image manipulation tasks, and our model tends not to be affected by the driving images.

Evaluating past emotions in changing facial expressions: The role of current emotions and culture.

Facial expressions in daily life typically change from one emotional state to another. To understand how people process emotions, it is important to know not only how current facial expressions are interpreted but also recent past expressions. While researchers have recently focused on perceptions of current expressions, little is known about how past expressions are gauged and about cultural differences in this process. The present research investigated whether and how evaluations of past facial expressions are influenced by subsequent expressions, and whether this process varies across East Asian and Western cultures. Specifically, Chinese and Canadian participants judged the degree of positivity/negativity of past expressions after viewing expressions that changed from past emotions-low-intensity smiles (Experiment 1), high-intensity smiles (Experiment 2), and anger (Experiment 3)-to current positive or negative emotions (collected between 2019 and 2020). All three experiments consistently found an assimilation effect, whereby past expressions were rated more positively when the current expression was positive than when the current expression was negative. Moreover, this assimilation effect was consistently greater in Chinese than in Canadian participants. Together, these findings suggest that the interpretation of past facial expressions assimilates toward the valence of subsequent expressions and that the impact of this temporal emotional context is more pronounced in Eastern relative to Western cultures. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Facial feedback manipulation influences the automatic detection of unexpected emotional body expressions

Unexpected or changing facial expressions are known to be able to engage more automatic processing than frequently occurring facial expressions, thereby inducing a neural differential wave response known as expression mismatch negativity (EMMN). Recent studies have shown that EMMN can be modulated by the observer's facial feedback (i.e., feedback from their own facial movements). A similar EMMN activity has been discovered for body expressions, but thus far only a few emotion types have been investigated. It is unknown whether the EMMNs evoked by body expressions can be influenced by facial feedback. To explore this question, we recorded EEG activity of 29 participants in the reverse oddball paradigm. Here two unexamined categories of body expressions were presented, happy and sad, placed in two paired stimulus sequences: in one the happy body was presented with a probability of 80% (standards) while the sad body was presented with a probability of 20% (deviants), and in the other the probabilities were reversed. The facial feedback was manipulated by different pen holding conditions (i.e., participants holding the pen with the teeth, lips, or nondominant hand). The nonparametric cluster permutation test revealed significant happy and sad body-related EMMN (bEMMN) activities. The happy-bEMMN were more negative than sad-bEMMN within the range of 100–150 ms. Additionally, the bEMMN amplitude of both emotions is modulated by the facial feedback conditions. These results expand the range of emotional types applicable to bEMMN and provide evidence for the validity of the facial feedback hypothesis across emotional carriers.

The Printed Face: Masks in Contemporary Printmaking

The adaptation of faces in visual culture, anthropology, and other disciplines is possible due to their atemporal nature and their plastic, changeful form. It is inspired by the needs of “facial society” (Macho, 1996) with the societal fixation on self-fashioning. Belting calls the mask “the medium of the face” as it visually and symbolically represents the person’s self. Through changing facial expressions, gaze, and voice modulation, a face becomes a construct based on staging or fashioning, that is, a mask. Belting emphasises that the simple dialectic of mask and self is superficial as the latter cannot exist independently (Belting, 2017, pp. 17–18). Masks take various shapes, like imprints, collages, found objects, photography, sculpture, and digital art, to answer current political, sociological, or aesthetical problems. The contemporary artworks keep their visuality and semantics up to date, adapting the phenomena of digital selfies, COVID-19 face masks, advanced AI technology, or the ecological crisis.

Facial hair tracking for high fidelity performance capture

Facial hair is a largely overlooked topic in facial performance capture. Most production pipelines in the entertainment industry do not have a way to automatically capture facial hair or track the skin underneath it. Thus, actors are asked to shave clean before face capture, which is very often undesirable. Capturing the geometry of individual facial hairs is very challenging, and their presence makes it harder to capture the deforming shape of the underlying skin surface. Some attempts have already been made at automating this task, but only for static faces with relatively sparse 3D hair reconstructions. In particular, current methods lack the temporal correspondence needed when capturing a sequence of video frames depicting facial performance. The problem of robustly tracking the skin underneath also remains unaddressed. In this paper, we propose the first multiview reconstruction pipeline that tracks both the dense 3D facial hair, as well as the underlying 3D skin for entire performances. Our method operates with standard setups for face photogrammetry, without requiring dense camera arrays. For a given capture subject, our algorithm first reconstructs a dense, high-quality neutral 3D facial hairstyle by registering sparser hair reconstructions over multiple frames that depict a neutral face under quasi-rigid motion. This custom-built, reference facial hairstyle is then tracked throughout a variety of changing facial expressions in a captured performance, and the result is used to constrain the tracking of the 3D skin surface underneath. We demonstrate the proposed capture pipeline on a variety of different facial hairstyles and lengths, ranging from sparse and short to dense full-beards.

METHOD OF GEOMETRIC INTERPRETATION OF FACIAL EXPRESSIONS FOR EMOTIONS RECOGNITION

Emotional expressions serve a crucial role in interpersonal communication between people while improving social life. In particular, information security systems for visual surveillance that aim to recognize human emotional facial states are highly relevant today. Facial expressions are among the most effective and straightforward means of nonverbal interaction in systems with a human-machine interface. Despite significant scientific and engineering advances in emotion recognition, there are still several challenges in improving the performance of real-time human-machine systems that might work more effectively. In this work, a method of facial geometric feature representation is proposed to improve the operation of security systems. The method is designed to automatically reflect the facial expressions of human emotions in the form of quantitative characteristics of geometric shapes. It uses software-generated landmarks for constructing specific geometric characteristics of the face, which serve as input for the method. Our method consists in forming seven geometric shapes based on predefined landmarks, with the subsequent quantitative expression of these shapes. It was established within the method that the movement of the landmarks when changing facial expressions directly changed the value of each geometric shape. The method outputs the quantitative features of seven shapes, later used to classify emotional facial states. Finally, our method was validated using hyperplane classification. The results of computational experiments confirmed the effectiveness of the proposed method for identifying changes in a person’s emotional state by facial expressions. In addition, the use of simple mathematical calculations in our method has significantly reduced the computational complexity against analogs.

Strategic Criticism in Second Language Class

Criticism is one of the important speech acts in class. Some teachers' criticism may threaten students’ face and lower their self-confidence and motivation in L2 learning. “Green Criticism”, which is indirect and friendly, is suggested to establish a harmonious relationship between teachers and students as well as improving teaching efficiency. It can be presented in two forms: verbal criticism and non-verbal criticism: As to verbal criticism, appropriate words like appropriate person deixis, hedges and positive words should be carefully selected to protect students’ self-esteem. Besides, empathetic mood such as passive voice, subjunctive, rising tone and stroking can be utilized to lessen face-threatening acts. Other pragmatic skills including application of request and humor as well as violation of CP are also effective in solving problems occurring in class. As for non-verbal criticism, keeping silent, using eye contact, walking around, changing facial expression and employing gestures are techniques to solve problems in class effectively. Different problems occurring in an English class of 7th grade in a training school in Zhanjiang, Guangdong Province of China are used as examples to illustrate the strategies of criticism.

FUSION OF SELECTED MULTI-MODAL FEATURES FOR ACCURATE FACE RECOGNITION

Yüz tanıma çok sayıda uygulama alanı olan popüler bir bilgisayarla görü problemidir. Farklı ışık koşulları ve değişen yüz ifadeleri yüz tanıma problemini zorlaştıran etkenlerdir. Yüz tanıma işlemi için çeşitli yöntemlerle elde edilen öznitelikler yüze ait farklı karakteristik özellikleri yansıtır. Bu karakteristik özelliklerden faydalanılarak yüz tanıma işlemi gerçekleştirilir. Bu çalışmada, örüntü ve doku tanımada sıklıkla kullanılan Yerel İkili Örüntü ve Felzenszwalb Yönelimli Gradyan Histogram özniteliklerinin birleştirilmesi ile yüz tanıma problemine çok kipli bir çözüm sunulmuştur. Yüz imgesi bölgelere ayrılarak, her iki yöntem ile bölgelerden öznitelik vektörleri elde edilmiştir. Bununla birlikte elde edilen vektörlere öznitelik seçim yöntemleri uygulanarak hem vektör boyutu azaltılmış hem de başarım arttırılmıştır. Öznitelik seçimi sonucu her iki yöntem için seçilen öznitelik alt kümeleri birleştirilerek uzamsal ve spektral öznitelikleri içeren tek bir öznitelik vektörü haline getirilmiştir. Seçilen öznitelikler Ki-kare sınıflandırıcısı kullanılarak sınıflandırılmıştır. Önerilen yöntemin başarımı FERET veri setinde ölçülmüş, %89.45 yüz doğrulama ve %94.55 yüz tanıma başarımı elde edilmiştir.

Quantifying false positional corrections due to facial motion using SGRT with open‐face Masks

PurposeStudies have evaluated the viability of using open‐face masks as an immobilization technique to treat intracranial and head and neck cancers. This method offers less stress to the patient with comparable accuracy to closed‐face masks. Open‐face masks permit implementation of surface guided radiation therapy (SGRT) to assist in positioning and motion management. Research suggests that changes in patient facial expressions may influence the SGRT system to generate false positional corrections. This study aims to quantify these errors produced by the SGRT system due to face motion.MethodsTen human subjects were immobilized using open‐face masks. Four discrete SGRT regions of interest (ROIs) were analyzed based on anatomical features to simulate different mask openings. The largest ROI was lateral to the cheeks, superior to the eyebrows, and inferior to the mouth. The smallest ROI included only the eyes and bridge of the nose. Subjects were asked to open and close their eyes and simulate fear and annoyance and peak isocenter shifts were recorded. This was performed in both standard and SRS specific resolutions with the C‐RAD Catalyst HD system.ResultsAll four ROIs analyzed in SRS and Standard resolutions demonstrated an average deviation of 0.3 ± 0.3 mm for eyes closed and 0.4 ± 0.4 mm shift for eyes open, and 0.3 ± 0.3 mm for eyes closed and 0.8 ± 0.9 mm shift for eyes open. The average deviation observed due to changing facial expressions was 1.4 ± 0.9 mm for SRS specific and 1.6 ± 1.6 mm for standard resolution.ConclusionThe SGRT system can generate false positional corrections for face motion and this is amplified at lower resolutions and smaller ROIs. These errors should be considered in the overall tolerances and treatment plan when using open‐face masks with SGRT and may warrant additional radiographic imaging.

AN INDIVIDUAL MASK CREATION USING THE INFORMATION MODEL

The development of individual respiratory protection (masks) during a coronavirus pandemic is relevant. Modern technologies of design and manufacture allow creating masks taking into account individual anatomical features of the person. The paper considers different types of construction of protective masks. It is necessary to create masks taking into account the anatomical features of the person. To address this issue, various countries are holding competitions to create a new generation of masks, such as the Mask Innovation Challenge in the United States. We offer creation of a protective mask with use of modern computer technologies on the basis of information model. The general approach and an option of practical realization of creation of a mask taking into account individual features of the person are considered. The information model has 5 main stages of creating a protective mask. To create a model of the human head, the method of photogrammetry is used, when its three-dimensional model is formed from two-dimensional photographs. On the surface of the head model in the program Autodesk 3DS Max created the basis of the mask frame using retopology technology. Then a three-dimensional solid model of the mask frame was developed, which was tested for mechanical loads when changing facial expressions. The creation of a solid model of the mask frame and simulation of mechanical loads were carried out in the program Autodesk Fusion 360. Fabrication of the supporting frame of the mask using additive technology is simulated. As a result, a mask is created using a replaceable multilayer filter. A further development of the work is the design of a reusable mask using different types of filters.

Faster, Smaller, and Simpler Model for Multiple Facial Attributes Transformation

There are many existing models that are capable of changing hair color or changing facial expressions. These models are typically implemented as deep neural networks that require a large number of computations in order to perform the transformations. This is why it is challenging to deploy on a mobile platform. The usual setup requires an internet connection, where the processing can be done on a server. However, this limits the application’s accessibility and diminishes the user experience for consumers with low internet bandwidth. In this paper, we develop a model that can simultaneously transform multiple facial attributes with lower memory footprint and fewer number of computations, making it easier to be processed on a mobile phone. Moreover, our encoder–decoder design allows us to encode an image only once and transform multiple times, making it faster as compared to the previous methods where the whole image has to be processed repeatedly for every attribute transformation. We show in our experiments that our results are comparable to the state-of-the-art models but with $4\times $ fewer parameters and $3\times $ faster execution time.

Facial expressions yielding Context-Dependent Effect: The additive contribution of eye movements

This study tested Context-Dependent Effect (CDE) on face recognition by viewing facial expressions as context and face identity as the target. Three groups were defined - Neutral, Happy and Angry, reflecting the facial expressions of the faces presented at the study phase. At the study phase, participants were presented with 42 color photos of faces for 5 s each. At the test phase, participants were presented with 84 pictures of faces, half of which had been viewed beforehand (old). One-third of the old and new faces displayed the same facial expression shown at study, and the remaining two-thirds had one of the other two expressions. Behavioral results show that consistency of facial expressions between study and test facilitated face recognition (i.e., CDE). Eye-tracking results showed that lengthier focus on a face at the study phase gives the participant an advantage only when the same face is presented again at the test phase. Angry expressions intensify binding more than happy or neutral expressions, resulting in higher costs when changing facial expression between study and test. The theoretical implications of these results in terms of the relationship between facial identity and facial expression are discussed. The practical implications, particularly for eyewitness memory literature, are also discussed.

Sniff and mimic — Intranasal oxytocin increases facial mimicry in a sample of men

The neuropeptide oxytocin (OT) has many potential social benefits. For example, intranasal administration of OT appears to trigger caregiving behavior and to improve the recognition of emotional facial expressions. But the mechanism for these effects is not yet clear. Recent findings relating OT to action imitation and to the visual processing of the eye region of faces point to mimicry as a mechanism through which OT improves processing of emotional expression. To test the hypothesis that increased levels of OT in the brain enhance facial mimicry, 60 healthy male participants were administered, in a double-blind between-subjects design, 24 international units (IUs) of OT or placebo (PLA) through nasal spray. Facial mimicry and emotion judgments were recorded in response to movie clips depicting changing facial expressions. As expected, facial mimicry was increased in the OT group, but effects were strongest for angry infant faces. These findings provide further evidence for the importance of OT in social cognitive skills, and suggest that facial mimicry mediates the effects of OT on improved emotion recognition.

Video classification and recommendation based on affective analysis of viewers

Most previous works on video classification and recommendation were only based on video contents, without considering the affective analysis of viewers. In this paper, we presented a novel method to classify and recommend videos based on affective analysis, mainly on facial expression recognition of viewers, by fusing the spatio–temporal features. For spatial features, we integrate Haar-like features into compositional ones according to the features’ correlation, and train a mid classifier. Then this process is embedded into the improved AdaBoost learning algorithm to obtain spatial features. And for temporal feature fusion, we adopt HDCRFs based on HCRFs by introducing a time dimension variable. The spatial features are embedded into HDCRFs to recognize facial expressions. Experiments on the Cohn–Kanada database show that the proposed method has a promising performance. Then viewers' changing facial expressions are collected frame by frame from the camera when they are watching videos. Finally, we draw affective curves which tell the process of affection changes. Through the curves, we segment each video into affective sections, classify videos into categories, and list recommendation scores. Experimental results on our collected database show that most subjects are satisfied with the classification and recommendation results.

Whatʼs Behind the Mask? A Look at Blood Flow Changes With Prolonged Facial Pressure and Expression Using Laser Doppler Imaging

Clinically, the initial blanching in burn scar seen on transparent plastic face mask application seems to diminish with time and movement requiring mask alteration. To date, studies quantifying perfusion with prolonged mask use do not exist. This study used laser Doppler imaging (LDI) to assess perfusion through the transparent face mask and movement in subjects with and without burn over time. Five subjects fitted with transparent face masks were scanned with the LDI on four occasions. The four subjects without burn were scanned in the following manner: 1) no mask, 2) mask on while at rest, 3) mask on with alternating intervals of sustained facial expression and rest, and 4) after mask removal. Images were acquired every 3 minutes throughout the 85-minute study period. The subject with burn underwent a shortened scanning protocol to increase comfort. Each face was divided into five regions of interest for analysis. Compared with baseline, mask application decreased perfusion significantly in all subjects (P < .0001). Perfusion did not change during the rest period. There were no significant differences with changing facial expression in any of the regions of interest. On mask removal, all regions of the face demonstrated a hyperemic effect with the chin (P = .05) and each cheek (P < .0001) reaching statistical significance. Perfusion levels did not return to baseline in the chin and cheeks after 30 minutes of mask removal. Perfusions remain constantly low while wearing the face mask, despite changing facial expressions. Changing facial expressions with the mask on did not alter perfusion. Hyperemic response occurs on removal of the mask. This study exposed methodology and statistical issues worth considering when conducting future research with the face, pressure therapy, and with LDI technology.

RPG게임캐릭터의 능력치변화량에 따라 감정요소가 적용된 걷기동작 구현

From several commercialized games the technique of changing facial expressions is imported, and a design method of a game character for the player`s empathy is expected to be diversified in the future. In this paper, as a design method of a game character for the player`s empathy, this makes walking motion for the game character applied with `human-emotion` factors as statistics variation of a game character in RPG genre. After this paper implements analyzed emotions of human facial expression and walking motions applied with emotion in examples of character animation theory, this paper divides walking motion applied with human-emotion factors into 8 types through relationship to statistics factors in RPG genre. And then these are applied to a knight character, which has the most similarity with human`s physical feature of the game characters in RPG genre, and makes walking motion as variable statistics. As a game player controls the game character applied with `human-emotion` factors, the effect of the player`s empathy about the game character becomes higher, and the level of immersion in game play is also expected to increase.

Motor coordination, empathy, and social behaviour in school-aged children

Children with motor coordination problems are known to have emotional difficulties and poor social skills. The current study investigated whether children with poor motor ability have poor emotion recognition skills, and whether these could be linked to problems in social behaviour. It was hypothesized that difficulties in empathic ability might be related to the poor visuo-spatial processing ability identified in children with developmental coordination disorder (as defined by the American Psychiatric Association). The relationship between motor coordination, emotion recognition, and social behaviour was examined in a sample of 234 children (113 males, 121 females; mean age 9y 7mo, [SD 1y 8mo] age range 6y 8mo to 12y 11mo). From this sample two groups of 39 children each (17 females, 22 males), one group with motor difficulties (mean age 9y 11mo [SD 2y], range 6y 11mo to 12y 11mo) and the other of control children (mean age 10y [SD 1y 11mo], range 6y 11mo to 12y 11mo), matched for age and sex, were compared using a set of six emotion recognition scales that measured both verbal and perceptual aspects of empathic ability. Children with motor difficulties were found to perform more poorly on scales measuring the ability to recognize static and changing facial expressions of emotion. This difference remained even when visuo-spatial processing was controlled. When controlling for emotion recognition and visuo-spatial organization, a child's motor ability remained a significant predictor of social behaviour.

An Experimental Investigation about the Integration of Facial Dynamics in Video-Based Face Recognition

Recent psychological and neural studies indicate that when people talk their changing facial expressions and head movements provide a dynamic cue for recognition. Therefore, both fixed facial features and dynamic personal characteristics are used in the human visual system (HVS) to recognize faces. However, most automatic recognition systems use only the static information as it is unclear how the dynamic cue can be integrated and exploited. The few works attempting to combine facial structure and its dynamics do not consider the relative importance of these two cues. They rather combine the two cues in an adhoc manner. But what is the relative importance of these two cues separately? Does combining them enhance systematically the recognition performance? To date, no work has extensively studied these issues. In this article, we investigate these issues by analyzing the effects of incorporating the dynamic information in video-based automatic face recognition. We consider two factors (face sequence length and image quality) and study their effects on the performance of video-based systems that attempt to use a spatio-temporal representation instead of one based on a still image. We experiment with two different databases and consider HMM (the temporal hidden Markov model) and ARMA (the auto-regressive and moving average model) as baseline methods for the spatio-temporal representation and PCA and LDA for the image-based one. The extensive experimental results show that motion information enhances also automatic recognition but not in a systematic way as in the HVS.

Motor coordination, empathy, and social behaviour in school-aged children

Children with motor coordination problems are known to have emotional difficulties and poor social skills. The current study investigated whether children with poor motor ability have poor emotion recognition skills, and whether these could be linked to problems in social behaviour. It was hypothesized that difficulties in empathic ability might be related to the poor visuo-spatial processing ability identified in children with developmental coordination disorder (as defined by the American Psychiatric Association). The relationship between motor coordination, emotion recognition, and social behaviour was examined in a sample of 234 children (113 males, 121 females; mean age 9y 7mo, [SD 1y 8mo] age range 6y 8mo to 12y 11mo). From this sample two groups of 39 children each (17 females, 22 males), one group with motor difficulties (mean age 9y 11mo [SD 2y], range 6y 11mo to 12y 11mo) and the other of control children (mean age 10y [SD ly 11mo], range 6y 11mo to 12y 11mo), matched for age and sex, were compared using a set of six emotion recognition scales that measured both verbal and perceptual aspects of empathic ability. Children with motor difficulties were found to perform more poorly on scales measuring the ability to recognize static and changing facial expressions of emotion. This difference remained even when visuo-spatial processing was controlled. When controlling for emotion recognition and visuo-spatial organization, a child's motor ability remained a significant predictor of social behaviour.

Old and New Media: Competition and Political Space

Classically, election analysis, especially studies on voter choice, is focused on demographics and polling. Attention is also paid to news and media exposure – whether candidate coverage, commercials, talk radio and the like may be significant factors behind gaining an image of the candidate, understanding the substance of the campaign, and swaying the voter. Candidate communication strategies and media bias of one form or another remain the object of critical study of ‘media effects.’ Referenced in such popular books as The Tipping Point, the studies on the changing facial expressions of TV news anchormen as they speak of the candidates are one case in point. These are among the various efforts ultimately to account for fact and knowledge gaps between voter ideas about candidates’ positions and the actual stands.