Ekman, P. and Friesen, W. (1975). Unmasking the face, A guide to recognizing emotions from facial clues. Prentice-Hall inc., Englewood Cli#s, New Jersey.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....but also emotions and personality. We have therefore started exploring computational models of emotional behaviour, 10] The representations used in this work form the basis for the results reported here on the facial expressions of emotions. Based on the descriptive work by Ekman and Friesen in [2] we define rules to map emotion representations onto the contraction level of facial muscles. In the research reported on in this paper, we focus on two aspects of facial expression modeling. First, we want to take into account the continuous changes in expressions of an emotion depending on the ....

....discuss the fuzzy rule based system in section 4 in more detail. Some results and the evaluation of the system are presented in section 5. 2 Emotions and Facial Expressions The rule based system presented below is based on a collection of theories of emotion and facial expression proposed by [2], 7] 9] and others that has been labeled as The Facial Expression Program by Russell [21] In this program, it is assumed that emotions can be distinguished discretely from one another. A limited number of these are called basic. Opinions differ on what it means for an emotion to be called ....

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Ekman, P. and W. Friesen(1975). Unmasking the Face. Prentice Hall.

....of categorising human facial expressions, and the extent to which such models may successfully replicate human performance and provide falsifiable predictions for novel images. The human category judgments are here obtained from the now classical Ekman and Friesen Pictures of Facial Affect study [3], the still images of their set of photographs partitioned by Ekman s subjects into one of the six classes of Happiness , Sadness , Anger , Fear , Surprise and Disgust . The task of each of our networks is to recognise one of these categories from training upon positive and negative ....

....caption. The implications of these results, and those for the static case are considered in the following section. 7. Discussion In this work we have considered the problem of classification of facial expressions for an unseen subject within the categories employed by Ekman and Friesen [3]. Both the generalisation results of section 5 and the morphing studies of section 6 provide some evidence that these categories may be broadly distinguished through a decomposition of the form H p fF r ; S r g fA g ; D g ; S d g: This assertion is further supported by principal component ....

Ekman, P. and Friesen, W.", "Unmasking the face". New York, Prentice Hall, (1975).

....facial expressions surface of the person displaying the emotion are visi ble. We provide an expression classifier that employs a representation of facial feature actions. It is based on the descriptions of the epic of facial expressions from static pictures as suggested by Ekman and Friesen in [6], and the descriptions of motion patterns of the face as proposed by Bassill in [2] We chose not to model or analyze facial muscle ac tions, setting our work apart from [9,10,12] as well as not to use models for muscle actions [7] Instead, we focus on the motions associated with the edges of ....

....used to verify translation of rectangles upward and downward (by measuring significant similar optical flow) and verify scaling of the rectangles (by measuring motions that imply scaling) 3 Computing motion representations 3. 1 Psychological basis A summary of the results of Ekman and Friesen [6] on the universal cues for recognizing the six principle emotions appears in [14] These cues describe the peak of each expression and thus they provide a human interpretation of the static appearance of the facial feature. For example, a description such as brows are raised means that the ....

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P. Ekman and W. Friesen, Unmasking the Face, Prentice-Hall, Inc., 1975.

....of Delft University of Technology. The theoretical formulation of the implemented facial expression recognition has been acquired from FACS [4] The interpretation of the recognised facial expression is currently based [1] 7] on the recognition of so called six basic emotions defined by Ekman [5][6]: happiness, sadness, fear, surprise, disgust and anger. Validation of the implemented knowledge and performing of the facial expression analysis in a completely automated way, are the main topics of this paper. 1. Introduction Human communication has two main aspects: verbal and non verbal. As ....

....curves and their approximation. An approximated curve represents a deformable template cast around the extracted snake or a connection of the extracted features (e.g. micro features) 2] Currently performed process of the emotion recognition is based on the definition of six basic emotions [5][6]. Ekman describes each basic emotion as a facial expression characteristic for that emotion. Together with the knowledge on facial expression recognition, the knowledge about the expression characteristic for each basic emotion forms a complete reasoning mechanism of ISFER. 3. Knowledge ....

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Ekman, P. & Friesen, W.V. (1975). Unmasking the Face. Prentice Hall, New Jersey, USA.

....Black and Yacoob [2] also utilised an optical flow model of image motion for facial expression analysis. Their work explores the use of local parameterised optical flow models for the recognition of the six basic emotional expressions (sadness, happiness, anger, disgust, fear and surprise [7,9]) Kobayashi and Hara [20] reported on real time recognition, singular emotional classification and synthesis of the six basic emotional expressions. They worked on realisation of an animated 3D face robot that can recognise and reproduce the emotional expressions. They use brightness distribution ....

....1. automatic extraction of the facial features from digitised facial images; 2. automatic encoding of face actions (described in terms of Action Units (AUs) 8] 3. automatic classification of face actions in six basic emotion categories (happiness, anger, surprise, fear, sadness, and disgust [7,9]) In contrast to the existing facial feature detectors (e.g. 10,18,20] which utilise single image processing technique, ISFER represents a hybrid approach to facial feature detection. Each of the existing methods is based either on discrete snakes and template matching [37] or on optical flow ....

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P. Ekman, W.V. Friesen, Unmasking the Face, Prentice Hall, New Jersey, 1975.

....from FACS [2] HERCULES contains also a second inference engine emotion recognition engine that offers an emotional interpretation to the recognised facial expression. Currently HERCULES emotion recognition is based on the recognition of so called six basic emotions defined by Ekman [3a][3b]: happiness, sadness, fear, surprise, disgust and anger. Making the system independent of any of the propagated psychological theories about emotions will be the next step in the development of HERCULES. The system now accepts manually made measurements on a full face photograph and returns a ....

Ekman, P. & Friesen, W.V. (1975). Unmasking the Face. A Guideline to Recognising Emotions from Clues. Prentice Hall, Englewood Cliffs, New Jersey, USA.

....Abstract Human Emotion Recognition Clips Utilised Expert System HERCULES [10] forms a part of an Automated System for Non verbal Communication. It was designed to analyse a shown facial expression, based on psychological study called FACS [3] and to interpret it in terms of six basic emotions [2]. HERCULES now accepts manually made measurements on a full face photograph and returns a description of the shown facial expression, quantitative measurement of it, its interpretation in terms of the six basic emotions and quantitative measurement of that emotional interpretation. Although the ....

....hundred years ago, Darwin wrote that facial expressions of emotion are universal, not learned differently in each culture, but biologically determined as the product of man s evolution. Since Darwin s time many writers have disagreed this statement. However, Ekman s psychological investigations [2] show that the facial appearances of at least six emotions happiness, sadness, surprise, fear, anger and disgust are indeed universal. Ekman calls those emotions the six basic emotions and he describes each of them [2] in terms of the facial expression characteristic for that emotion. On the ....

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Ekman, P. & Friesen, W.V. (1975). Unmasking the Face. Prentice Hall, Englewood Cliffs, New Jersey, USA.

....experienced during interaction with a specific software could become one of the roles of the user modeling agents. # Communication: important information in a conversational exchange comes from body language (Birdwhistle, 1970) voice prosody, facial expressions revealing emotional content (Ekman and Friesen, 1984), and facial displays connected with various aspects of discourse (Chovil, 1991) # Learning: people are more or less receptive to the information to be learned depending on their liking (of the instructor, of the visual presentation, of how the feedback is given, or of who is giving it) ....

Ekman, P., and Friesen, W. (1984). Unmasking the Face. A Guide to Recognizing Emotions From Facial Cues. Englewood CLiffs, NJ: Prentice Hall.

....procedure) considers the temporal consistency of the mid level predicates to minimize the effects of noise and inaccuracies in the motion and deformation models. In developing the high level models we rely on the classification of facial expressions described in the psychological literature [4]. Following the temporal approach for recognition proposed in [8] we divide each facial expression into three temporal segments: the beginning, apex and ending. Figure 3 illustrates the temporal segments of a smile model. Notice that Figure 3 indicates that the change in parameter values Proc. ....

....these motion parameters is observed during the ending of the expression. The rules for detecting the beginning and ending of expressions are given in Table 3. These rules are applied to the predicates of the mid level representation and are similar to those proposed in the psychological literature [4]. Generally, a beginning ending has to be detectable continuously over at least four consecutive frames for the action to be recognized. The high level representation of head motion is currently limited to detecting backward and forward motions, right and left rotations around the neck and ....

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P. Ekman and W. Friesen. Unmasking the Face. Prentice Hall, 1975.

....and suppression. Social construction is accomplished mainly via culturally defined norms that inform individuals about which emotion is suitable in which situation and how it is expressed appropriately. Hochschild (1983) defines the concepts of feeling rules and expression rules. Ekman and Friesen (1975) extensively discuss display rules prescribing appropriate expressive behaviour. A large part of emotion socialisation (Saarni 1993) is devoted to learning of these norms. Emotions can be managed. A deviant emotional experience can be brought in line with the normative requirement by ....

EKMAN P and Friesen W V (1975) Unmasking the Face. Englewood Cliffs, NJ: Prentice Hall.

....Gesture Vision Auditory Tactile Smell Taste Five Organs of Sense Human Human Figure 2: Communication. searches for facial expression with several algorithm [3] 10] The most important image emblem for communication seems to be facial expression and gesture , but not the image itself [2]. In other words, image transportation system has been developed for TV telephone and monitoring system. But proposed system is focused on no image transportation, but facial expression transportation. Then, this system can realize to display the same facial expression with other persons, even ....

....corresponding technique between two image database is discussed. Finally, the facial expression transporting system show the validity of these criteria. 2 Facial Expression Facial expression is coming up with humans emotion. The research for categorizing of facial expressions has been discussed [2]. The expression is almost composed with six main emotions, such as happiness , sadness , surprise , disgust , anger and fear . In the human society, there are micro expression and macro expression in the emotions, furthermore, there will be fake expression. But this kind of expression can ....

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Paul Ekman and Wallace V. Friesen, "Unmasking the Face", Prentice-Hall, 1975

.... content: listener feedback about understanding of the speaker s message is supplied by head nods and eye gaze (Clark Brennan, 1991, Clark Schaefer, 1989, Kahneman, 1973) and interpersonal attitude can be inferred from facial expressions and posture (Argyle, Lefebvre Cook, 1974, Ekman Friesen, 1975, Kleinke, 1986) Furthermore, nonverbal communication is claimed to aid process co ordination: head nods and eye gaze can support speaker switching and turn taking (Argyle, Lalljee Cook, 1968, Duncan, 1972, Kendon, 1967) This has implications for technology design. According to this view, ....

EKMAN, P. & FRIESEN, W. (1975). Unmasking the face. New Jersy: Prentice Hall.

....local histograms approach to be able to capture the fine scale changes in facial features and be suitable for building temporal models using Hidden Markov Models. Most work in automatic understanding of facial expressions has focused on classification of the universal expressions defined by Ekman [7]. These expressions are sadness, anger, fear, disgust, surprise, happiness and contempt. Thus, the algorithms were tailored towards buildingmodels to recognize the universal expressions from static images or video sequences [4, 8, 14] Recently, some work is being done towards recognition of ....

P. Ekman and W. Friesen. Unmasking the Face. PrenticeHall, 1975.

....of Sense Human Human Figure 1. Communication. ment on face and body. Actually, there are many researches for facial expression analysis with several algorithm [2] 3] The most important image emblem for communication seems to be facial expression and gesture , but not the image itself [1]. In other hands, image transportation system has been developed for TV telephone and monitoring system. But proposed system is focused on no image transportation, but facial expression transportation. Then, this system can realize to display the same facial expression in other persons, even ....

....or points. Considering with the weight factors, reduced set of eigenvectors, the matrix E = e 1 ; e 2 ; 1 1 1 ; e k ] is constructed to project an image, z i (dimension N ) into the eigen space as an eigen point, i i (dimension k) i i = E T (z i 0 c) 1) where c is the average image. In [1], the traditional classification on facial expression will be categorized into six emotions. But only main four emotions, anger , normal , surprise and smile , will be used in this section to verify the validity of eigen space analysis in the analysis of facial expression. The original image ....

Paul Ekman and Wallace V. Friesen, "Unmasking the Face", Prentice-Hall, 1975

.... on theoretical predictions concerning emotion antecedent appraisal and emotion specific action tendencies as postulated by different cognitive emotion theorists (Scherer, 1988; Frijda, 1986) Furthermore, game scenarios have been related to prototypic emotion antecedent events, as postulated by Ekman Friesen (1975). In the scope of this paper we can only provide illustrations of the relation between game specifities and each of the models proposed by these authors. Helper Object container Scherer s Appraisal dimensions A central feature of Scherer s component process model is the notion that the ....

.... with many different enemies, he can either pre select a fist , which gives him power (action readiness: antagonistic; end state: removal of obstruction) or he can preselect a shield (action readiness: rejecting; end state: protection) Ekman Friesen s prototypic emotion antecedent events Ekman and Friesen (1975) propose a description of prototypic emotion antecedent events for what they termed basic emotions. Concerning happiness they differentiate between pleasure happiness, relief happiness, and happiness that involves the self concept (pride) Relief happiness occurs when a negative emotion has ended. ....

Ekman, P., & Friesen, W. V. (1975). Unmasking the face. Englewood Cliffs, NJ: Prentice-Hall.

....and human machine interaction. Both of them would have significant applications for building more intelligent and more intuitive human machine interfaces. Facial expressions, as a reflection of the emotional state of the subject, have been extensively and successfully studied in psychology[1, 2, 3], consequently good methods to describe the facial expressions like FACS(Facial Action Coding System) 3] have been proposed. In recent years, the problems of automatic recognition of faces and facial expressions have drawn great attention from Computer Vision researchers. Several face recognition ....

....To implement our system, we have collected several facial expression galleries. Each gallery is comprised of images of the same person, but with various facial expressions, and each expression may be represented by several images. Such gallery is called personalized gallery. Research in psychology[1, 2, 3] has indicated that six emotions are universally associated with distinct facial expressions. Other emotions and many combinations of emotions have been studied but remain unconfirmed as universally distinguishable. These six emotions are happiness, sadness, anger, disgust, fear, and surprise. ....

P. Ekman and W. Friesen. Unmasking the face. Prentice-Hall, Inc., 1975.

....of activities, such as psychology, psychiatry, speech therapy, and medical imaging. The field of psychology, in trying to understand human perception, has many uses for a facial animation system: ffl Perception of age. ffl Perception of identity (Bruce, 1988) ffl Identifying emotional states (Ekman Friesen, 1978a, 1984). 5 The field of psychiatry, which often uses human substitutes as a psychiatric evaluation or therapy device, might also find such systems useful. Speech therapy is often needed for victims of disease or trauma, such as stroke. A system for medical imaging requires a high degree of accuracy ....

....Pelachaud, 1990; Waters, 1988; Hill et al. 1988) but almost never at the same time. Some newer systems (Parke, 1989, pp. 35 40) will display emotion on the top of the face leaving the mouth area free to speak, but many emotions must be shown in all areas of the face to be properly identified (Ekman Friesen, 1984). Much is known about how emotions are displayed on the face, during speech, through gesture, in social situations, etc. Also, there are many automatic functions such as breathing, blinking, lip biting, etc. that should logically be automated instead of adding to the burden of the animator. Other ....

[Article contains additional citation context not shown here]

Ekman, P., & Friesen, W. (1984). Unmasking the Face. Consulting Psychologists Press, Palo Alto, CA.

....Robot (a) Telephone TV Telephone (b) Tele operation Map Map (c) Tele service Human Human (Unknown Person) Unknown Person) Figure 1: Tele communications. algorithm [2] 8] The most important image emblem for communication seems to be facial expression and gesture , but not the image itself [1]. Recently, eigen space analysis has been familiar to the computer vision researchers in object recognition topics. Pentland used this criteria for face recognition, referred eigenface [9] 10] This method is one of the principal components analysis (PCA) methods. This method can reduce the ....

....transportation. Then, this system can realize to display the same facial expression with other persons, even though with cartoon characters. 2 Facial Expression Facial expression is coming up with humans emotion. The research for categorizing of facial expressions has been discussed by Ekman [1]. They show that the expression is almost composed with six main emotions, such as happiness , sadness , surprise , disgust , anger and fear . In the human society, there are micro expression and macro expression in the emotions, furthermore, there will be fakeexpression. But this kind of ....

[Article contains additional citation context not shown here]

Paul Ekman and Wallace V. Friesen, "Unmasking the Face", Prentice-Hall, 1975

....subjects. As illustrated in Figure 2, Bassili identified principal facial motions that provide powerful cues to the subjects to recognize facial expressions. In developing our approach to expression recognition we rely on the psychology sources best represented for static imagery by the work of Ekman and Friesen [1975], and for motion images by the work of Bassili [1979] as well as on the recent mid and high level spatio temporal representations proposed by Yacoob and Davis [1994] 3 Estimating Facial Motions This section introduces the parameterized optical flow models and the robust estimation procedure ....

....difficult because different expressions may appear quite similar leading to variation in human recognition of expressions. In an attempt to maintain some consistency in deciding which expression is actually being displayed, we used the the cues identified by psychological studies [Bassili, 1979; Ekman and Friesen, 1975] to determine the ground truth expressions. We provide two sets of experiments. In the first, we recorded tens of expressions of forty subjects (having varied race, culture, and appearance) displaying their own choice of expressions. Our experimental subjects were asked to display emotional ....

P. Ekman and W. Friesen. Unmasking the Face. Prentice-Hall, 1975.

....facial expressions surface of the person displaying the emotion are visible. We provide an expression classifier that employs a representation of facial feature actions. It is based on the descriptions of the epic of facial expressions from static pictures as suggested by Ekman and Friesen in [6], and the descriptions of motion patterns of the face as proposed by Bassili in [2] We chose not to model or analyze facial muscle actions, setting our work apart from [9,10,12] as well as not to use models for muscle actions [7] Instead, we focus on the motions associated with the edges of the ....

....used to verify translation of rectangles upward and downward (by measuring significant similar optical flow) and verify scaling of the rectangles (by measuring motions that imply scaling) 3 Computing motion representations 3. 1 Psychological basis A summary of the results of Ekman and Friesen [6] on the universal cues for recognizing the six principle emotions appears in [14] These cues describe the peak of each expression and thus they provide a human interpretation of the static appearance of the facial feature. For example, a description such as brows are raised means that the ....

[Article contains additional citation context not shown here]

P. Ekman and W. Friesen, Unmasking the Face, Prentice-Hall, Inc., 1975.

....from dynamic imagery. Visual communication has been extensively studied in the psychology literature, mainly as a means of describing the emotional, cognitive and physical states of subjects and the role they play in social interactions [BRU88, DAV75, EKM73, SCH84, YOU89] Ekman and Friesen [EKM75] classified facial signals into three types: static (such as skin color) slow (such as permanent wrinkles) and rapid (such as raising the eyebrows) The rapid facial signals can be further classified as conveying emotional, emblematic, manipulator, illustrator, and regulator messages [EKM92] ....

....that employs a representation of facial feature actions is employed. The proposed midlevel representation is based on two sources from psychology for describing facial expressions: the description of the apex of a facial expression from a static picture as suggested by Ekman and Friesen in [EKM75], and the description of motion patterns of the face as proposed by Bassili in [BAS79] We chose not to model or analyze facial muscle actions, setting our work apart from recent approaches [LI93, MAS91, TER93] as well as not to use models for muscle actions [EKM78] Instead, we focus on the ....

[Article contains additional citation context not shown here]

P. Ekman and W. Friesen, Unmasking the Face, Prentice-Hall, 1975.

....to determine the action that may have occurred at the feature. The set of all detected facial actions is used in the following section for recognizing facial expressions. 4 Recognizing facial expressions We have designed a rule based system that combines some of the expression descriptions from [3] and [2] We divide every facial expression into three temporal parts: the beginning, epic and ending. Figure 3 shows the temporal parts of a smile model. Since we use the outward upward motion of the mouth corners as the principle cue for a smile motion pattern, these are used as the criteria ....

P. Ekman and W. Friesen, Unmasking the Face, Prentice-Hall, Inc., 1975.

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Ekman, P. and Friesen, W. (1975). Unmasking the face, A guide to recognizing emotions from facial clues. Prentice-Hall inc., Englewood Cli#s, New Jersey.

No context found.

P. Ekman and W. Friesen. Unmasking the Face. Prentice Hall, New Jersey, 1975.

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