The Facial Action Coding System ( FACS ) is a system to taxonomize human facial movements by their appearance on the face, based on a system originally developed by a Swedish anatomist named Carl-Herman Hjortsjö . It was later adopted by Paul Ekman and Wallace V. Friesen , and published in 1978. Ekman, Friesen, and Joseph C. Hager published a significant update to FACS in 2002. Movements of individual facial muscles are encoded by the FACS from slight different instant changes in facial appearance. It has proven useful to psychologists and to animators .
88-684: In 2009, a study was conducted to study spontaneous facial expressions in sighted and blind judo athletes. They discovered that many facial expressions are innate and not visually learned. Using the FACS human coders can manually code nearly any anatomically possible facial expression, deconstructing it into the specific "action units" (AU) and their temporal segments that produced the expression. As AUs are independent of any interpretation, they can be used for any higher order decision making process including recognition of basic emotions , or pre-programmed commands for an ambient intelligent environment. The FACS manual
176-434: A big role in emotions. He suggested that physiological reactions contributed to emotional experience by facilitating a focused cognitive appraisal of a given physiologically arousing event and that this appraisal was what defined the subjective emotional experience. Emotions were thus a result of two-stage process: general physiological arousal, and experience of emotion. For example, the physiological arousal, heart pounding, in
264-428: A big smile and then most people say he looks happy. If an automated method achieves the same results as a group of observers it may be considered accurate, even if it does not actually measure what Alex truly feels. Another source of 'truth' is to ask Alex what he truly feels. This works if Alex has a good sense of his internal state, and wants to tell you what it is, and is capable of putting it accurately into words or
352-534: A catch-all term to passions , sentiments and affections . The word "emotion" was coined in the early 1800s by Thomas Brown and it is around the 1830s that the modern concept of emotion first emerged for the English language. "No one felt emotions before about 1830. Instead they felt other things – 'passions', 'accidents of the soul', 'moral sentiments' – and explained them very differently from how we understand emotions today." Some cross-cultural studies indicate that
440-680: A community, and self-esteem is one's estimate of one's status. Somatic theories of emotion claim that bodily responses, rather than cognitive interpretations, are essential to emotions. The first modern version of such theories came from William James in the 1880s. The theory lost favor in the 20th century, but has regained popularity more recently due largely to theorists such as John T. Cacioppo , Antonio Damasio , Joseph E. LeDoux and Robert Zajonc who are able to appeal to neurological evidence. In his 1884 article William James argued that feelings and emotions were secondary to physiological phenomena. In his theory, James proposed that
528-544: A comparison of the homologous facial movements present in humans and chimpanzees, to show that the facial expressions of both species result from extremely notable appearance changes. The development of FACS tools for different species allows the objective and anatomical study of facial expressions in communicative and emotional contexts. Furthermore, a cross-species analysis of facial expressions can help to answer interesting questions, such as which emotions are uniquely human. The Emotional Facial Action Coding System (EMFACS) and
616-552: A continuum of intensity. Thus fear might range from mild concern to terror or shame might range from simple embarrassment to toxic shame. Emotions have been described as consisting of a coordinated set of responses, which may include verbal, physiological , behavioral, and neural mechanisms. Emotions have been categorized , with some relationships existing between emotions and some direct opposites existing. Graham differentiates emotions as functional or dysfunctional and argues all functional emotions have benefits. In some uses of
704-446: A degree of pleasure or displeasure . There is no scientific consensus on a definition. Emotions are often intertwined with mood , temperament , personality , disposition , or creativity . Research on emotion has increased over the past two decades, with many fields contributing, including psychology , medicine , history , sociology of emotions , computer science and philosophy . The numerous attempts to explain
792-562: A great deal of variability in their abilities to recognize emotion. A key point to keep in mind when learning about automated emotion recognition is that there are several sources of "ground truth", or truth about what the real emotion is. Suppose we are trying to recognize the emotions of Alex. One source is "what would most people say that Alex is feeling?" In this case, the 'truth' may not correspond to what Alex feels, but may correspond to what most people would say it looks like Alex feels. For example, Alex may actually feel sad, but he puts on
880-731: A lengthy survey about how you feel at each point watching an educational video or advertisement, you can consent to have a camera watch your face and listen to what you say, and note during which parts of the experience you show expressions such as boredom, interest, confusion, or smiling. (Note that this does not imply it is reading your innermost feelings—it only reads what you express outwardly.) Other uses by Affectiva include helping children with autism, helping people who are blind to read facial expressions, helping robots interact more intelligently with people, and monitoring signs of attention while driving in an effort to enhance driver safety. Academic research increasingly uses emotion recognition as
968-465: A method to study social science questions around elections, protests, and democracy. Several studies focus on the facial expressions of political candidates on social media and find that politicians tend to express happiness. However, this research finds that computer vision tools such as Amazon Rekognition are only accurate for happiness and are mostly reliable as 'happy detectors'. Researchers examining protests, where negative affect such as anger
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#17328525126461056-607: A motive to any action of the will… it can never oppose passion in the direction of the will… The reason is, and ought to be, the slave of the passions, and can never pretend to any other office than to serve and obey them". With these lines, Hume attempted to explain that reason and further action would be subject to the desires and experience of the self. Later thinkers would propose that actions and emotions are deeply interrelated with social, political, historical, and cultural aspects of reality that would also come to be associated with sophisticated neurological and physiological research on
1144-518: A number. However, some people are alexithymic and do not have a good sense of their internal feelings, or they are not able to communicate them accurately with words and numbers. In general, getting to the truth of what emotion is actually present can take some work, can vary depending on the criteria that are selected, and will usually involve maintaining some level of uncertainty. Decades of scientific research have been conducted developing and evaluating methods for automated emotion recognition. There
1232-399: A pattern of physiological response (increased heart rate, faster breathing, etc.), which is interpreted as a particular emotion (fear). This theory is supported by experiments in which by manipulating the bodily state induces a desired emotional state. Some people may believe that emotions give rise to emotion-specific actions, for example, "I'm crying because I'm sad", or "I ran away because I
1320-551: A response to an evoking stimulus, the sight of a bear in the kitchen. The brain then quickly scans the area, to explain the pounding, and notices the bear. Consequently, the brain interprets the pounding heart as being the result of fearing the bear. With his student, Jerome Singer , Schachter demonstrated that subjects can have different emotional reactions despite being placed into the same physiological state with an injection of epinephrine. Subjects were observed to express either anger or amusement depending on whether another person in
1408-433: A subject with ventromedial frontal lobe damage described in the book Descartes' Error , Damasio demonstrated how loss of physiological capacity for emotion resulted in the subject's lost capacity to make decisions despite having robust faculties for rationally assessing options. Research on physiological emotion has caused modern neuroscience to abandon the model of emotions and rationality as opposing forces. In contrast to
1496-432: A theistic origin to humanity. God who created humans gave humans the ability to feel emotion and interact emotionally. Biblical content expresses that God is a person who feels and expresses emotion. Though a somatic view would place the locus of emotions in the physical body, Christian theory of emotions would view the body more as a platform for the sensing and expression of emotions. Therefore, emotions themselves arise from
1584-517: Is 'good' or 'bad'. Alternatively, there are 'good emotions' (like joy and caution) experienced by those that are wise, which come from correct appraisals of what is 'good' and 'bad'. Aristotle believed that emotions were an essential component of virtue . In the Aristotelian view all emotions (called passions) corresponded to appetites or capacities. During the Middle Ages , the Aristotelian view
1672-612: Is a combination of audio data, image data and sometimes texts (in case of subtitles ). Emotion recognition in conversation (ERC) extracts opinions between participants from massive conversational data in social platforms , such as Facebook , Twitter , YouTube, and others. ERC can take input data like text, audio, video or a combination form to detect several emotions such as fear, lust, pain, and pleasure. Emotion Emotions are physical and mental states brought on by neurophysiological changes, variously associated with thoughts , feelings , behavioral responses , and
1760-425: Is a felt tendency impelling people towards attractive objects and propelling them to move away from repulsive or harmful objects; a disposition to possess the object (greed), to destroy it (hatred), to flee from it (fear), to get obsessed or worried over it (anxiety), and so on. In Stoic theories, normal emotions (like delight and fear) are described as irrational impulses that come from incorrect appraisals of what
1848-556: Is associated with a particular pattern of physiological activity". Emotions are complex, involving multiple different components, such as subjective experience, cognitive processes , expressive behavior, psychophysiological changes, and instrumental behavior. At one time, academics attempted to identify the emotion with one of the components: William James with a subjective experience, behaviorists with instrumental behavior, psychophysiologists with physiological changes, and so on. More recently, emotion has been said to consist of all
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#17328525126461936-749: Is expected, have therefore developed their own models to more accurately study expressions of negativity and violence in democratic processes. A patent Archived 7 October 2019 at the Wayback Machine filed by Snapchat in 2015 describes a method of extracting data about crowds at public events by performing algorithmic emotion recognition on users' geotagged selfies . Emotient was a startup company which applied emotion recognition to reading frowns, smiles, and other expressions on faces, namely artificial intelligence to predict "attitudes and actions based on facial expressions". Apple bought Emotient in 2016 and uses emotion recognition technology to enhance
2024-416: Is generally disposed to feel irritation more easily or quickly than others do. Finally, some theorists place emotions within a more general category of "affective states" where affective states can also include emotion-related phenomena such as pleasure and pain , motivational states (for example, hunger or curiosity ), moods, dispositions and traits. For more than 40 years, Paul Ekman has supported
2112-439: Is known as "core-SELF" to be generating these affects. Psychologists have used methods such as factor analysis to attempt to map emotion-related responses onto a more limited number of dimensions. Such methods attempt to boil emotions down to underlying dimensions that capture the similarities and differences between experiences. Often, the first two dimensions uncovered by factor analysis are valence (how negative or positive
2200-417: Is no single, universally accepted evolutionary theory. The most prominent ideas suggest that emotions have evolved to serve various adaptive functions: A distinction can be made between emotional episodes and emotional dispositions. Emotional dispositions are also comparable to character traits, where someone may be said to be generally disposed to experience certain emotions. For example, an irritable person
2288-463: Is not as clear as it seems. Paul D. MacLean claims that emotion competes with even more instinctive responses, on one hand, and the more abstract reasoning, on the other hand. The increased potential in neuroimaging has also allowed investigation into evolutionarily ancient parts of the brain. Important neurological advances were derived from these perspectives in the 1990s by Joseph E. LeDoux and Antonio Damasio . For example, in an extensive study of
2376-477: Is not part of the FACS, the main muscles involved in the facial expression have been added here. Action units (AUs) are the fundamental actions of individual muscles or groups of muscles. Action descriptors (ADs) are unitary movements that may involve the actions of several muscle groups (e.g., a forward‐thrusting movement of the jaw). The muscular basis for these actions has not been specified and specific behaviors have not been distinguished as precisely as for
2464-461: Is now an extensive literature proposing and evaluating hundreds of different kinds of methods, leveraging techniques from multiple areas, such as signal processing , machine learning , computer vision , and speech processing . Different methodologies and techniques may be employed to interpret emotion such as Bayesian networks . , Gaussian Mixture models and Hidden Markov Models and deep neural networks . The accuracy of emotion recognition
2552-461: Is over 500 pages in length and provides the AUs, as well as Ekman's interpretation of their meanings. The FACS defines AUs, as contractions or relaxations of one or more muscles. It also defines a number of "action descriptors", which differ from AUs in that the authors of the FACS have not specified the muscular basis for the action and have not distinguished specific behaviors as precisely as they have for
2640-401: Is probably to gain the best outcome if applying multiple modalities by combining different objects, including text (conversation), audio, video, and physiology to detect emotions. Text data is a favorable research object for emotion recognition when it is free and available everywhere in human life. Compare to other types of data, the storage of text data is lighter and easy to compress to
2728-404: Is the computational complexity during the classification process. Data is an integral part of the existing approaches in emotion recognition and in most cases it is a challenge to obtain annotated data that is necessary to train machine learning algorithms. For the task of classifying different emotion types from multimodal sources in the form of texts, audio, videos or physiological signals,
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2816-601: Is the need to have a sufficiently large training set. Some of the most commonly used machine learning algorithms include Support Vector Machines (SVM) , Naive Bayes , and Maximum Entropy . Deep learning , which is under the unsupervised family of machine learning , is also widely employed in emotion recognition. Well-known deep learning algorithms include different architectures of Artificial Neural Network (ANN) such as Convolutional Neural Network (CNN) , Long Short-term Memory (LSTM) , and Extreme Learning Machine (ELM) . The popularity of deep learning approaches in
2904-532: Is the process of identifying human emotion . People vary widely in their accuracy at recognizing the emotions of others. Use of technology to help people with emotion recognition is a relatively nascent research area. Generally, the technology works best if it uses multiple modalities in context. To date, the most work has been conducted on automating the recognition of facial expressions from video, spoken expressions from audio, written expressions from text, and physiology as measured by wearables. Humans show
2992-718: Is usually improved when it combines the analysis of human expressions from multimodal forms such as texts, physiology, audio, or video. Different emotion types are detected through the integration of information from facial expressions , body movement and gestures , and speech. The technology is said to contribute in the emergence of the so-called emotional or emotive Internet . The existing approaches in emotion recognition to classify certain emotion types can be generally classified into three main categories: knowledge-based techniques, statistical methods, and hybrid approaches. Knowledge-based techniques (sometimes referred to as lexicon -based techniques), utilize domain knowledge and
3080-510: The Facial Action Coding System Affect Interpretation Dictionary (FACSAID) consider only emotion-related facial actions. Examples of these are: FACS coding is also used extensively in computer animation , in particular for computer facial animation , with facial expressions being expressed as vector graphics of AUs. FACS vectors are used as weights for blend shapes corresponding to each AU, with
3168-475: The James–Lange theory . As James wrote, "the perception of bodily changes, as they occur, is the emotion". James further claims that "we feel sad because we cry, angry because we strike, afraid because we tremble, and either we cry, strike, or tremble because we are sorry, angry, or fearful, as the case may be". An example of this theory in action would be as follows: An emotion-evoking stimulus (snake) triggers
3256-418: The diencephalon (particularly the thalamus ), before being subjected to any further processing. Therefore, Cannon also argued that it was not anatomically possible for sensory events to trigger a physiological response prior to triggering conscious awareness and emotional stimuli had to trigger both physiological and experiential aspects of emotion simultaneously. Stanley Schachter formulated his theory on
3344-404: The semantic and syntactic characteristics of text and potentially spoken language in order to detect certain emotion types. In this approach, it is common to use knowledge-based resources during the emotion classification process such as WordNet , SenticNet, ConceptNet , and EmotiNet, to name a few. One of the advantages of this approach is the accessibility and economy brought about by
3432-467: The " wheel of emotions ", suggesting eight primary emotions grouped on a positive or negative basis: joy versus sadness; anger versus fear; trust versus disgust; and surprise versus anticipation. Some basic emotions can be modified to form complex emotions. The complex emotions could arise from cultural conditioning or association combined with the basic emotions. Alternatively, similar to the way primary colors combine, primary emotions could blend to form
3520-427: The AUs. For example, the FACS can be used to distinguish two types of smiles as follows: The FACS is designed to be self-instructional. People can learn the technique from a number of sources including manuals and workshops, and obtain certification through testing. Although the labeling of expressions currently requires trained experts, researchers have had some success in using computers to automatically identify
3608-494: The AUs. For the most accurate annotation, the FACS suggests agreement from at least two independent certified FACS encoders. Intensities of the FACS are annotated by appending letters A–E (for minimal-maximal intensity) to the action unit number (e.g. AU 1A is the weakest trace of AU 1 and AU 1E is the maximum intensity possible for the individual person). There are other modifiers present in FACS codes for emotional expressions, such as "R" which represents an action that occurs on
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3696-466: The FACS codes. One obstacle to automatic FACS code recognition is a shortage of manually coded ground truth data. The use of the FACS has been proposed for use in the analysis of depression , and the measurement of pain in patients unable to express themselves verbally. The original FACS has been modified to analyze facial movements in several non-human primates, namely chimpanzees , rhesus macaques, gibbons and siamangs, and orangutans. More recently, it
3784-702: The Western philosophers (including Aristotle , Plato , Descartes , Aquinas , and Hobbes ), leading them to propose extensive theories—often competing theories—that sought to explain emotion and the accompanying motivators of human action, as well as its consequences. In the Age of Enlightenment , Scottish thinker David Hume proposed a revolutionary argument that sought to explain the main motivators of human action and conduct. He proposed that actions are motivated by "fears, desires, and passions". As he wrote in his book A Treatise of Human Nature (1773): "Reason alone can never be
3872-419: The accompanying bodily sensations have always been part of the interests of thinkers and philosophers. Far more extensively, this has also been of great interest to both Western and Eastern societies. Emotional states have been associated with the divine and with the enlightenment of the human mind and body. The ever-changing actions of individuals and their mood variations have been of great importance to most of
3960-496: The ancient Greek ideal of dispassionate reason, the neuroscience of emotion shows that emotion is necessarily integrated with intellect. Research on social emotion also focuses on the physical displays of emotion including body language of animals and humans (see affect display ). For example, spite seems to work against the individual but it can establish an individual's reputation as someone to be feared. Shame and pride can motivate behaviors that help one maintain one's standing in
4048-415: The appraisal of situations and contexts. Cognitive processes, like reasoning and decision-making, are often regarded as separate from emotional processes, making a division between "thinking" and "feeling". However, not all theories of emotion regard this separation as valid. Nowadays, most research into emotions in the clinical and well-being context focuses on emotion dynamics in daily life, predominantly
4136-453: The best performance due to the frequent repetition of words and characters in languages. Emotions can be extracted from two essential text forms: written texts and conversations (dialogues). For written texts, many scholars focus on working with sentence level to extract "words/phrases" representing emotions. Different from emotion recognition in text, vocal signals are used for the recognition to extract emotions from audio . Video data
4224-462: The brain and other parts of the physical body. The Lexico definition of emotion is "A strong feeling deriving from one's circumstances, mood, or relationships with others". Emotions are responses to significant internal and external events. Emotions can be occurrences (e.g., panic ) or dispositions (e.g., hostility), and short-lived (e.g., anger) or long-lived (e.g., grief). Psychotherapist Michael C. Graham describes all emotions as existing on
4312-443: The categorization of "emotion" and classification of basic emotions such as "anger" and "sadness" are not universal and that the boundaries and domains of these concepts are categorized differently by all cultures. However, others argue that there are some universal bases of emotions (see Section 6.1). In psychiatry and psychology, an inability to express or perceive emotion is sometimes referred to as alexithymia . Human nature and
4400-464: The components of the James-Lange theory of emotions. The James–Lange theory has remained influential. Its main contribution is the emphasis it places on the embodiment of emotions, especially the argument that changes in the bodily concomitants of emotions can alter their experienced intensity. Most contemporary neuroscientists would endorse a modified James–Lange view in which bodily feedback modulates
4488-581: The components. The different components of emotion are categorized somewhat differently depending on the academic discipline. In psychology and philosophy , emotion typically includes a subjective , conscious experience characterized primarily by psychophysiological expressions , biological reactions , and mental states . A similar multi-componential description of emotion is found in sociology . For example, Peggy Thoits described emotions as involving physiological components, cultural or emotional labels (anger, surprise, etc.), expressive body actions, and
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#17328525126464576-488: The concept-level knowledge-based resource SenticNet. The role of such knowledge-based resources in the implementation of hybrid approaches is highly important in the emotion classification process. Since hybrid techniques gain from the benefits offered by both knowledge-based and statistical approaches, they tend to have better classification performance as opposed to employing knowledge-based or statistical methods independently. A downside of using hybrid techniques however,
4664-443: The distinct facial expressions. Ekman's facial-expression research examined six basic emotions: anger , disgust , fear , happiness , sadness and surprise . Later in his career, Ekman theorized that other universal emotions may exist beyond these six. In light of this, recent cross-cultural studies led by Daniel Cordaro and Dacher Keltner , both former students of Ekman, extended the list of universal emotions. In addition to
4752-561: The domain of emotion recognition may be mainly attributed to its success in related applications such as in computer vision , speech recognition , and Natural Language Processing (NLP) . Hybrid approaches in emotion recognition are essentially a combination of knowledge-based techniques and statistical methods, which exploit complementary characteristics from both techniques. Some of the works that have applied an ensemble of knowledge-driven linguistic elements and statistical methods include sentic computing and iFeel, both of which have adopted
4840-408: The earlier work of a Spanish physician, Gregorio Marañón , who injected patients with epinephrine and subsequently asked them how they felt. Marañón found that most of these patients felt something but in the absence of an actual emotion-evoking stimulus, the patients were unable to interpret their physiological arousal as an experienced emotion. Schachter did agree that physiological reactions played
4928-566: The emotional intelligence of its products. nViso provides real-time emotion recognition for web and mobile applications through a real-time API . Visage Technologies AB offers emotion estimation as a part of their Visage SDK for marketing and scientific research and similar purposes. Eyeris is an emotion recognition company that works with embedded system manufacturers including car makers and social robotic companies on integrating its face analytics and emotion recognition software; as well as with video content creators to help them measure
5016-862: The experience feels) and arousal (how energized or enervated the experience feels). These two dimensions can be depicted on a 2D coordinate map. This two-dimensional map has been theorized to capture one important component of emotion called core affect . Core affect is not theorized to be the only component to emotion, but to give the emotion its hedonic and felt energy. Using statistical methods to analyze emotional states elicited by short videos, Cowen and Keltner identified 27 varieties of emotional experience: admiration, adoration, aesthetic appreciation, amusement, anger, anxiety, awe, awkwardness, boredom, calmness, confusion, craving, disgust, empathic pain, entrancement, excitement, fear, horror, interest, joy, nostalgia, relief, romance, sadness, satisfaction, sexual desire, and surprise. In Hinduism, Bharata Muni enunciated
5104-434: The experience of emotion. (p. 583) Walter Bradford Cannon agreed that physiological responses played a crucial role in emotions, but did not believe that physiological responses alone could explain subjective emotional experiences. He argued that physiological responses were too slow and often imperceptible and this could not account for the relatively rapid and intense subjective awareness of emotion. He also believed that
5192-454: The following datasets are available: Emotion recognition is used in society for a variety of reasons. Affectiva , which spun out of MIT , provides artificial intelligence software that makes it more efficient to do tasks previously done manually by people, mainly to gather facial expression and vocal expression information related to specific contexts where viewers have consented to share this information. For example, instead of filling out
5280-436: The following: Śṛṅgāraḥ (शृङ्गारः): Romance / Love / attractiveness, Hāsyam (हास्यं): Laughter / mirth / comedy, Raudram (रौद्रं): Fury / Anger, Kāruṇyam (कारुण्यं): Compassion / mercy, Bībhatsam (बीभत्सं): Disgust / aversion, Bhayānakam (भयानकं): Horror / terror, Veeram (वीरं): Pride / Heroism, Adbhutam (अद्भुतं): Surprise / wonder. In Buddhism , emotions occur when an object is considered attractive or repulsive. There
5368-404: The form of judgments, evaluations, or thoughts were entirely necessary for an emotion to occur. Cognitive theories of emotion emphasize that emotions are shaped by how individuals interpret and appraise situations. These theories highlight: These theories acknowledge that emotions are not automatic reactions but result from the interplay of cognitive interpretations, physiological responses, and
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#17328525126465456-473: The full spectrum of human emotional experience. For example, interpersonal anger and disgust could blend to form contempt . Relationships exist between basic emotions, resulting in positive or negative influences. Jaak Panksepp carved out seven biologically inherited primary affective systems called SEEKING (expectancy), FEAR (anxiety), RAGE (anger), LUST (sexual excitement), CARE (nurturance), PANIC/GRIEF (sadness), and PLAY (social joy). He proposed what
5544-485: The inclusion of cognitive appraisal as one of the elements is slightly controversial, since some theorists make the assumption that emotion and cognition are separate but interacting systems, the CPM provides a sequence of events that effectively describes the coordination involved during an emotional episode. Emotion can be differentiated from a number of similar constructs within the field of affective neuroscience : There
5632-449: The influence of emotions on health and behaviors, suggesting the need to manage emotions. Early modern views on emotion are developed in the works of philosophers such as René Descartes , Niccolò Machiavelli , Baruch Spinoza , Thomas Hobbes and David Hume . In the 19th century emotions were considered adaptive and were studied more frequently from an empiricist psychiatric perspective. Christian perspective on emotion presupposes
5720-474: The initial list of opinions or emotions . Corpus-based approaches on the other hand, start with a seed list of opinion or emotion words, and expand the database by finding other words with context-specific characteristics in a large corpus . While corpus-based approaches take into account context, their performance still vary in different domains since a word in one domain can have a different orientation in another domain. Statistical methods commonly involve
5808-478: The intensity of specific emotions and their variability, instability, inertia, and differentiation, as well as whether and how emotions augment or blunt each other over time and differences in these dynamics between people and along the lifespan. The word "emotion" dates back to 1579, when it was adapted from the French word émouvoir , which means "to stir up". The term emotion was introduced into academic discussion as
5896-444: The large availability of such knowledge-based resources. A limitation of this technique on the other hand, is its inability to handle concept nuances and complex linguistic rules. Knowledge-based techniques can be mainly classified into two categories: dictionary-based and corpus-based approaches. Dictionary-based approaches find opinion or emotion seed words in a dictionary and search for their synonyms and antonyms to expand
5984-417: The main proponents of this view was Richard Lazarus who argued that emotions must have some cognitive intentionality . The cognitive activity involved in the interpretation of an emotional context may be conscious or unconscious and may or may not take the form of conceptual processing. Lazarus' theory is very influential; emotion is a disturbance that occurs in the following order: For example: Jenny sees
6072-654: The mid-late 19th century with Charles Darwin 's 1872 book The Expression of the Emotions in Man and Animals . Darwin argued that emotions served no evolved purpose for humans, neither in communication, nor in aiding survival. Darwin largely argued that emotions evolved via the inheritance of acquired characters. He pioneered various methods for studying non-verbal expressions, from which he concluded that some expressions had cross-cultural universality. Darwin also detailed homologous expressions of emotions that occur in animals . This led
6160-453: The nine rasas (emotions) in the Nātyasāstra , an ancient Sanskrit text of dramatic theory and other performance arts, written between 200 BC and 200 AD. The theory of rasas still forms the aesthetic underpinning of all Indian classical dance and theatre, such as Bharatanatyam , kathak , Kuchipudi , Odissi , Manipuri , Kudiyattam , Kathakali and others. Bharata Muni established
6248-472: The origin, function , and other aspects of emotions have fostered intense research on this topic. Theorizing about the evolutionary origin and possible purpose of emotion dates back to Charles Darwin . Current areas of research include the neuroscience of emotion, using tools like PET and fMRI scans to study the affective picture processes in the brain . From a mechanistic perspective, emotions can be defined as "a positive or negative experience that
6336-445: The original six, these studies provided evidence for amusement , awe , contentment , desire , embarrassment , pain , relief , and sympathy in both facial and vocal expressions. They also found evidence for boredom , confusion , interest , pride , and shame facial expressions, as well as contempt , relief, and triumph vocal expressions. Robert Plutchik agreed with Ekman's biologically driven perspective but developed
6424-462: The perceived effectiveness of their short and long form video creative. Many products also exist to aggregate information from emotions communicated online, including via "like" button presses and via counts of positive and negative phrases in text and affect recognition is increasingly used in some kinds of games and virtual reality, both for educational purposes and to give players more natural control over their social avatars. Emotion recognition
6512-447: The perception of what he called an "exciting fact" directly led to a physiological response, known as "emotion". To account for different types of emotional experiences, James proposed that stimuli trigger activity in the autonomic nervous system , which in turn produces an emotional experience in the brain. The Danish psychologist Carl Lange also proposed a similar theory at around the same time, and therefore this theory became known as
6600-532: The person, or that which is "imago-dei" or Image of God in humans. In Christian thought, emotions have the potential to be controlled through reasoned reflection. That reasoned reflection also mimics God who made mind. The purpose of emotions in human life is therefore summarized in God's call to enjoy Him and creation, humans are to enjoy emotions and benefit from them and use them to energize behavior. Perspectives on emotions from evolutionary theory were initiated during
6688-429: The result of a cognitive and conscious process which occurs in response to a body system response to a trigger. According to Scherer 's Component Process Model (CPM) of emotion, there are five crucial elements of emotion. From the component process perspective, emotional experience requires that all of these processes become coordinated and synchronized for a short period of time, driven by appraisal processes. Although
6776-432: The resulting face mesh then being used to render the finished face. Deep learning techniques can be used to determine the FACS vectors from face images obtained during motion capture acting , facial motion capture or other performances. For clarification, the FACS is an index of facial expressions, but does not actually provide any bio-mechanical information about the degree of muscle activation. Though muscle activation
6864-513: The richness, variety, and temporal course of emotional experiences could not stem from physiological reactions, that reflected fairly undifferentiated fight or flight responses. An example of this theory in action is as follows: An emotion-evoking event (snake) triggers simultaneously both a physiological response and a conscious experience of an emotion. Phillip Bard contributed to the theory with his work on animals. Bard found that sensory, motor, and physiological information all had to pass through
6952-486: The right side of the face and "L" for actions which occur on the left. An action which is unilateral (occurs on only one side of the face) but has no specific side is indicated with a "U" and an action which is bilateral but has a stronger side is indicated with an "A" for asyasdasd asmmetric. These codes are reserved for recording information about gross behaviors that may be relevant to the facial actions that are scored. Emotion recognition Emotion recognition
7040-463: The situation (a confederate) displayed that emotion. Hence, the combination of the appraisal of the situation (cognitive) and the participants' reception of adrenalin or a placebo together determined the response. This experiment has been criticized in Jesse Prinz's (2004) Gut Reactions . With the two-factor theory now incorporating cognition, several theories began to argue that cognitive activity in
7128-503: The social context. A prominent philosophical exponent is Robert C. Solomon (for example, The Passions, Emotions and the Meaning of Life , 1993 ). Solomon claims that emotions are judgments. He has put forward a more nuanced view which responds to what he has called the 'standard objection' to cognitivism, the idea that a judgment that something is fearsome can occur with or without emotion, so judgment cannot be identified with emotion. One of
7216-399: The use of different supervised machine learning algorithms in which a large set of annotated data is fed into the algorithms for the system to learn and predict the appropriate emotion types. Machine learning algorithms generally provide more reasonable classification accuracy compared to other approaches, but one of the challenges in achieving good results in the classification process,
7304-521: The view that emotions are discrete, measurable, and physiologically distinct. Ekman's most influential work revolved around the finding that certain emotions appeared to be universally recognized, even in cultures that were preliterate and could not have learned associations for facial expressions through media. Another classic study found that when participants contorted their facial muscles into distinct facial expressions (for example, disgust), they reported subjective and physiological experiences that matched
7392-452: The way for animal research on emotions and the eventual determination of the neural underpinnings of emotion. More contemporary views along the evolutionary psychology spectrum posit that both basic emotions and social emotions evolved to motivate (social) behaviors that were adaptive in the ancestral environment. Emotion is an essential part of any human decision-making and planning, and the famous distinction made between reason and emotion
7480-487: The word, emotions are intense feelings that are directed at someone or something. On the other hand, emotion can be used to refer to states that are mild (as in annoyed or content) and to states that are not directed at anything (as in anxiety and depression). One line of research looks at the meaning of the word emotion in everyday language and finds that this usage is rather different from that in academic discourse. In practical terms, Joseph LeDoux has defined emotions as
7568-404: Was adopted and further developed by scholasticism and Thomas Aquinas in particular. In Chinese antiquity, excessive emotion was believed to cause damage to qi , which in turn, damages the vital organs. The four humors theory made popular by Hippocrates contributed to the study of emotion in the same way that it did for medicine . In the early 11th century, Avicenna theorized about
7656-479: Was developed also for domestic species, including dogs, horses and cats. Similarly to the human FACS, the animal FACS has manuals available online for each species with the respective certification tests. Thus, the FACS can be used to compare facial repertoires across species due to its anatomical basis. A study conducted by Vick and others (2006) suggests that the FACS can be modified by taking differences in underlying morphology into account. Such considerations enable
7744-466: Was scared". The issue with the James–Lange theory is that of causation (bodily states causing emotions and being a priori ), not that of the bodily influences on emotional experience (which can be argued and is still quite prevalent today in biofeedback studies and embodiment theory). Although mostly abandoned in its original form, Tim Dalgleish argues that most contemporary neuroscientists have embraced
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