Rapid facial reactions in response to happy and angry expressions in 7‐month‐old infants
26
Citation
33
Reference
10
Related Paper
Citation Trend
Abstract:
Humans rapidly and spontaneously activate muscles in the face when viewing emotional facial expressions in others. These rapid facial reactions (RFRs) are thought to reflect low-level, bottom-up processes, and are theorized to assist an observer to experience and share the affect of another individual. It has been assumed that RFRs are present from birth; however to date, no study has investigated this response in children younger than 3 years of age. In the present study, we used facial electromyography (EMG) to measure corrugator supercilii (brow) and zygomaticus major (cheek) muscle activity in 7-month-old infants while they viewed happy and angry facial expressions. The results showed that 7-month olds exhibited greater zygomaticus activity in response to happy expressions than angry expressions, however, we found no evidence of differential corrugator muscle activity.Keywords:
Facial electromyography
Facial muscles
Affect
Abstract Individuals with severe tetraplegia frequently require to control their complex assistive devices using body movement with the remaining activity above the neck. Electromyography (EMG) signals from the contractions of facial muscles enable people to produce multiple command signals by conveying information about attempted movements. In this study, a novel EMG-controlled system based on facial actions was developed. The mechanism of different facial actions was processed using an EMG control model. Four asymmetric and symmetry actions were defined to control a two-degree-of-freedom (2-DOF) prosthesis. Both indoor and outdoor experiments were conducted to validate the feasibility of EMG-controlled prostheses based on facial action. The experimental results indicated that the new paradigm presented in this paper yields high performance and efficient control for prosthesis applications.
Facial muscles
Facial electromyography
Cite
Citations (9)
Human faces express emotions, informing others about their affective states. In order to measure expressions of emotion, facial Electromyography (EMG) has widely been used, requiring electrodes and technical equipment. More recently, emotion recognition software has been developed that detects emotions from video recordings of human faces. However, its validity and comparability to EMG measures is unclear. The aim of the current study was to compare the Affectiva Affdex emotion recognition software by iMotions with EMG measurements of the zygomaticus mayor and corrugator supercilii muscle, concerning its ability to identify happy, angry and neutral faces. Twenty participants imitated these facial expressions while videos and EMG were recorded. Happy and angry expressions were detected by both the software and by EMG above chance, while neutral expressions were more often falsely identified as negative by EMG compared to the software. Overall, EMG and software values correlated highly. In conclusion, Affectiva Affdex software can identify emotions and its results are comparable to EMG findings.
Facial muscles
Facial electromyography
Expression (computer science)
Cite
Citations (134)
Introduction . The study was to see whether there were differences in values of facial surface electromyography in subjects of good heath by muscles, age, and sex. Methods . It draws ratio between lower value and higher value (R‐LV/HV) and asymmetry index (AI), based on root mean square (RMS) from measurement of facial surface electromyography (sEMG) in 154 people of healthy people (male:female = 70:84) aging between more than 20 and less than 70. Results . For R‐LV/HV, it averages 81.70±14.60% on frontalis muscle, 73.74±19.12% on zygomaticus muscle, and 79.72±14.77% on orbicularis oris muscle. With analysis of the AI average was 10.87±10.14% on frontalis muscle, 16.71±14.79% on zygomaticus muscle, and 12.10±10.05% on orbicularis oris muscle. Both values were statistically significant in three parts of muscles as shown. Both of R‐LV/HV and AI show no statistically significant difference on age and sex (p>0.05). Conclusions . It could provide basic data for the future diagnosis of facial nerve palsy patients by measuring facial sEMG values for healthy people.
Left and right
Cite
Citations (6)
Facial expression is an integral aspect of non-verbal communication of affective information. Earlier psychological studies have reported that the presentation of prerecorded photographs or videos of emotional facial expressions automatically elicits divergent responses, such as emotions and facial mimicry. However, such highly controlled experimental procedures may lack the vividness of real-life social interactions. This study incorporated a live image relay system that delivered models' real-time performance of positive (smiling) and negative (frowning) dynamic facial expressions or their prerecorded videos to participants. We measured subjective ratings of valence and arousal and facial electromyography (EMG) activity in the zygomaticus major and corrugator supercilii muscles. Subjective ratings showed that the live facial expressions were rated to elicit higher valence and more arousing than the corresponding videos for positive emotion conditions. Facial EMG data showed that compared with the video, live facial expressions more effectively elicited facial muscular activity congruent with the models' positive facial expressions. The findings indicate that emotional facial expressions in live social interactions are more evocative of emotional reactions and facial mimicry than earlier experimental data have suggested.
Facial electromyography
Facial muscles
Emotional expression
Emotional valence
Cite
Citations (15)
We examined the effects of the emotional facial expressions of a virtual character (VC) on human frontal electroencephalographic (EEG) asymmetry (putatively indexing approach/withdrawal motivation), facial electromyographic (EMG) activity (emotional expressions), and social decision making (cooperation/defection). In a within-subjects design, the participants played the Iterated Prisoner's Dilemma game with VCs with different dynamic facial expressions (predefined or dependent on the participant's electrodermal and facial EMG activity). In general, VC facial expressions elicited congruent facial muscle activity. However, both frontal EEG asymmetry and facial EMG activity elicited by an angry VC facial expression varied as a function of preceding interactional events (human collaboration/defection). Pre-decision inner emotional-motivational processes and emotional facial expressions were dissociated, suggesting that human goals influence pre-decision frontal asymmetry, whereas display rules may affect (pre-decision) emotional expressions in human-VC interaction. An angry VC facial expression, high pre-decision corrugator EMG activity, and relatively greater left frontal activation predicted the participant's decision to defect. Both post-decision frontal asymmetry and facial EMG activity were related to reciprocal cooperation. The results suggest that the justifiability of VC emotional expressions and the perceived fairness of VC actions influence human emotional responses.
Facial muscles
Facial electromyography
Emotional expression
Affect
Cite
Citations (24)
Facial electromyography (EMG) is a psychophysiological technique used to measure electrical potential generated by facial muscles. As the activity of certain facial muscles have been associated with emotional expression, facial EMG can be used to index variance in the valence of emotional expression. This entry aims to provide context and support for the use of facial EMG in media research and to briefly describe recording practices.
Facial electromyography
Facial muscles
Cite
Citations (4)
Emotional expressions evoke rapid facial reactions in the perceiver that are consistent with the valence of the observed expression. We aimed to investigate whether this robust facial reaction is purely a motor matching response or instead represents underlying affective processes. Participants' (N = 60) corrugator supercilii and zygomaticus major muscle activity was quantified using facial electromyography (EMG) while they viewed three sets of images; (i) upright happy and angry facial expressions, (ii) inverted happy and angry facial expressions, and (iii) sad and happy eyes and mouth expressions. Participants displayed patterns of EMG responding that were consistent with the affective valence of the emotional expression, as opposed to merely matching the observed stimuli (i.e. a motor matching response). Using a novel methodological approach, these findings provide evidence for the contention that affective processing underlies rapid facial mimicry reactions.
Facial electromyography
Facial muscles
Cite
Citations (9)
The problem with which this investigation is concerned is that of facial muscle activity in forming and maintaining the soprano clarinet embouchure. The purposes of the study are to collect and analyze data in the following areas: 1. Activity of the following muscles during performance on the clarinet: (1) upper orbicularis oris, (2) lower orbicularis oris, (3) upper half of the buccinator, and (4) lower half of the buccinator. Muscular activity is read as electronic potential and is presented on recordings through the use of electromyography. 2. Possible effects which the electromyographic apparatus might impose upon performance. Tape recordings weremade of the subjects' performing prescribed tasks both before and during electromyographic analysis. The possible effects of the electromyographic analysis upon performance were then tested by comparing these two recordings.
Facial electromyography
Facial muscles
Orbicularis oris muscle
Cite
Citations (0)
Humans rapidly and spontaneously activate muscles in the face when viewing emotional facial expressions in others. These rapid facial reactions (RFRs) are thought to reflect low-level, bottom-up processes, and are theorized to assist an observer to experience and share the affect of another individual. It has been assumed that RFRs are present from birth; however to date, no study has investigated this response in children younger than 3 years of age. In the present study, we used facial electromyography (EMG) to measure corrugator supercilii (brow) and zygomaticus major (cheek) muscle activity in 7-month-old infants while they viewed happy and angry facial expressions. The results showed that 7-month olds exhibited greater zygomaticus activity in response to happy expressions than angry expressions, however, we found no evidence of differential corrugator muscle activity.
Facial electromyography
Facial muscles
Affect
Cite
Citations (26)
Observing facial expressions automatically prompts imitation, as can be seen with facial electromyography. To investigate whether this reaction is driven by automatic mimicry or by recognition of the emotion displayed we recorded electromyograph responses to presentations of facial expressions, face–voice combinations and bodily expressions, which resulted from happy and fearful stimuli. We observed emotion-specific facial muscle activity (zygomaticus for happiness, corrugator for fear) for all three stimulus categories. This indicates that spontaneous facial expression is more akin to an emotional reaction than to facial mimicry and imitation of the seen face stimulus. We suggest that seeing a facial expression, an emotional body expression or hearing an emotional tone of voice all activate the affect program corresponding to the emotion displayed.
Facial electromyography
Stimulus (psychology)
Facial muscles
Emotional expression
Cite
Citations (121)