Comparison of selected off-the-shelf solutions for emotion recognition based on facial expressions

Brodny, Grzegorz; Kołakowska, Agata; Landowska, Agnieszka; Szwoch, Mariusz; Szwoch, Wioleta; Wróbel, Michał R.

doi:10.1109/hsi.2016.7529664

Cited by 26 publications

(15 citation statements)

References 23 publications

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“…He proposed the discrete emotional model using six universal emotions: happiness, surprise, anger, disgust, sadness and fear . (Brodny et al, 2016, p. 1; emphasis in original)…”

Section: Scope Approach and Intended Audience Of Articlementioning

confidence: 99%

Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements

Barrett

Adolphs

Marsella

et al. 2019

Psychol Sci Public Interest

1,045

854

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It is commonly assumed that a person’s emotional state can be readily inferred from his or her facial movements, typically called emotional expressions or facial expressions. This assumption influences legal judgments, policy decisions, national security protocols, and educational practices; guides the diagnosis and treatment of psychiatric illness, as well as the development of commercial applications; and pervades everyday social interactions as well as research in other scientific fields such as artificial intelligence, neuroscience, and computer vision. In this article, we survey examples of this widespread assumption, which we refer to as the common view, and we then examine the scientific evidence that tests this view, focusing on the six most popular emotion categories used by consumers of emotion research: anger, disgust, fear, happiness, sadness, and surprise. The available scientific evidence suggests that people do sometimes smile when happy, frown when sad, scowl when angry, and so on, as proposed by the common view, more than what would be expected by chance. Yet how people communicate anger, disgust, fear, happiness, sadness, and surprise varies substantially across cultures, situations, and even across people within a single situation. Furthermore, similar configurations of facial movements variably express instances of more than one emotion category. In fact, a given configuration of facial movements, such as a scowl, often communicates something other than an emotional state. Scientists agree that facial movements convey a range of information and are important for social communication, emotional or otherwise. But our review suggests an urgent need for research that examines how people actually move their faces to express emotions and other social information in the variety of contexts that make up everyday life, as well as careful study of the mechanisms by which people perceive instances of emotion in one another. We make specific research recommendations that will yield a more valid picture of how people move their faces to express emotions and how they infer emotional meaning from facial movements in situations of everyday life. This research is crucial to provide consumers of emotion research with the translational information they require.

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“…He proposed the discrete emotional model using six universal emotions: happiness, surprise, anger, disgust, sadness and fear . (Brodny et al, 2016, p. 1; emphasis in original)…”

Section: Scope Approach and Intended Audience Of Articlementioning

confidence: 99%

Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements

Barrett

Adolphs

Marsella

et al. 2019

Psychol Sci Public Interest

1,045

854

View full text Add to dashboard Cite

show abstract

“…The computer itself was physically located in the second part of the room; it is labeled as Computer 2 on Figure 1. In addition, a video camera was located in front of the participant at the top of the monitor, followed by a lighting set, supplied with Noldus FaceReader software, which was used to recognize emotions on the basis of facial expressions [36]. Underneath the monitor, a myGaze Eye Tracker device was situated.…”

Section: • Computer Keyboard and Mouse Movementsmentioning

confidence: 99%

Applicability of Emotion Recognition and Induction Methods to Study the Behavior of Programmers

Wróbel¹

2018

Applied Sciences

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Recent studies in the field of software engineering have shown that positive emotions can increase and negative emotions decrease the productivity of programmers. In the field of affective computing, many methods and tools to recognize the emotions of computer users were proposed. However, it has not been verified yet which of them can be used to monitor the emotional states of software developers. The paper describes a study carried out on a group of 35 participants to determine which of these methods can be used during programming. During the study, data from multiple sensors that are commonly used in methods of emotional recognition were collected. The participants were extensively questioned about the sensors' invasiveness during programming. This allowed us to determine which of them are applicable in the work of programmers. In addition, it was verified which methods are suitable for use in the work environment and which are only suitable in the laboratory. Moreover, three methods for inducing negative emotions have been proposed, and their effectiveness has been verified.

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“…The zone of facial expression recognition (FER) is critical and responsible in the field of advanced gadgets which stay unrecognized in numerous applications. Full of feeling mindful frameworks are vital for various expressions, for example, commitment, disappointment, misery, dread, and bliss to build its proficiency and viability [6]. Facial expressions are created because of contortions of facial highlights because of the narrowing of facial muscles.…”

Section: Introductionmentioning

confidence: 99%

Facial Expression Recognition Complications with the Stages of Face Detection and Recognition

Deepthi¹,

Sailaja²

2019

IJRTE

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Facial expressions are the facial changes in light of a man's interior enthusiastic moods, aims, or social interchanges which are investigated by computer frameworks that endeavor to consequently examine and perceive facial movements and facial component changes from visual data. Now and again the facial expression recognition has been mistaken for feeling examination in the computer vision space prompts uncouth backings of acknowledgment process such as face detection, feature recognition and expression recognition in that way bringing about the issues of identifying impediments, enlightenments, posture varieties, acknowledgment, decrease in dimensionality, and so forth. Notwithstanding that, an appropriate computation and forecast of exact outcomes additionally enhances the execution of the facial Expression recognition. Henceforth, a detailed study was required about the strategies and systems utilized for unraveling the issues of facial expressions during the time of face detection, feature recognition and expression recognition. So thepaper displayed different current strategies and afterward basically considered the effort by the different researchers in the area of Facial ExpressionRecognition.

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Comparison of selected off-the-shelf solutions for emotion recognition based on facial expressions

Cited by 26 publications

References 23 publications

Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements

Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements

Applicability of Emotion Recognition and Induction Methods to Study the Behavior of Programmers

Facial Expression Recognition Complications with the Stages of Face Detection and Recognition

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