scholarly journals Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans

10.3791/59228 ◽  
2019 ◽  
Author(s):  
Anbjørn Ree ◽  
India Morrison ◽  
Håkan Olausson ◽  
Uta Sailer ◽  
Markus Heilig ◽  
...  
Keyword(s):  
Facial Muscle ◽  
Affective Touch ◽  
Facial Electromyography

scholarly journals Language That Puts You in Touch With Your Bodily Feelings

2009 ◽  
Vol 20 (8) ◽  
pp. 974-980 ◽  
Author(s):  
Francesco Foroni ◽  
Gün R. Semin
Keyword(s):  
Cognitive Psychology ◽  
Muscle Activity ◽  
Muscle Activation ◽  
Muscular Activity ◽  
Emotional Expressions ◽  
Facial Muscle ◽  
Verbal Stimuli ◽  
Facial Electromyography ◽  
Bodily Feelings ◽  
Action Verbs

Observing and producing a smile activate the very same facial muscles. In Experiment 1, we predicted and found that verbal stimuli (action verbs) that refer to emotional expressions elicit the same facial muscle activity (facial electromyography) as visual stimuli do. These results are evidence that language referring to facial muscular activity is not amodal, as traditionally assumed, but is instead bodily grounded. These findings were extended in Experiment 2, in which subliminally presented verbal stimuli were shown to drive muscle activation and to shape judgments, but not when muscle activation was blocked. These experiments provide an important bridge between research on the neurobiological basis of language and related behavioral research. The implications of these findings for theories of language and other domains of cognitive psychology (e.g., priming) are discussed.

Signal-To-Noise Ratio Calculations to Validate Sensor Positioning for Facial Muscle Assessment Using Noninvasive Facial Electromyography

2021 ◽  
Author(s):  
Konstantin Frank ◽  
Nicholas Moellhoff ◽  
Antonia Kaiser ◽  
Michael Alfertshofer ◽  
Robert H. Gotkin ◽  
...  
Keyword(s):  
Facial Expression ◽  
Root Mean Square ◽  
Muscle Activity ◽  
Signal To Noise Ratio ◽  
Mean Square ◽  
Facial Muscle ◽  
Signal To Noise ◽  
Facial Electromyography ◽  
Baseline Noise ◽  
Noise Ratio

AbstractThe evaluation of neuromodulator treatment outcomes can be performed by noninvasive surface-derived facial electromyography (fEMG) which can detect cumulative muscle fiber activity deep to the skin. The objective of the present study is to identify the most reliable facial locations where the motor unit action potentials (MUAPs) of various facial muscles can be quantified during fEMG measurements. The study population consisted of five males and seven females (31.0 [12.9] years, body mass index of 22.15 [1.6] kg/m2). Facial muscle activity was assessed in several facial regions in each patient for their respective muscle activity utilizing noninvasive surface-derived fEMG. Variables of interest were the average root mean square of three performed muscle contractions (= signal) (µV), mean root mean square between those contraction with the face in a relaxed facial expression (= baseline noise) (µV), and the signal to noise ratio (SNR). A total of 1,709 processed fEMG signals revealed one specific reliable location in each investigated region based on each muscle's anatomy, on the highest value of the SNR, on the lowest value for the baseline noise, and on the practicability to position the sensor while performing a facial expression. The results of this exploratory study may help guiding future researchers and practitioners in designing study protocols and measuring individual facial MUAP when utilizing fEMG. The locations presented herein were selected based on the measured parameters (SNR, signal, baseline noise) and on the practicability and reproducibility of sensor placement.

scholarly journals Associations between Cognitive Concepts of Self and Emotional Facial Expressions with an Emphasis on Emotion Awareness

Psych ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 48-60
Author(s):  
Peter Walla ◽  
Aimee Mavratzakis
Keyword(s):  
Facial Expressions ◽  
Cognitive Processes ◽  
Muscle Activity ◽  
Stimulus Onset ◽  
The Self ◽  
Facial Muscle ◽  
Emotional Facial Expressions ◽  
Facial Electromyography ◽  
Corrugator Supercilii ◽  
Emotional Pictures

Recognising our own and others’ emotions is vital for healthy social development. The aim of the current study was to determine how emotions related to the self or to another influence behavioural expressions of emotion. Facial electromyography (EMG) was used to record spontaneous facial muscle activity in nineteen participants while they passively viewed negative, positive and neutral emotional pictures during three blocks of referential instructions. Each participant imagined themself, another person or no one experiencing the emotional scenario, with the priming words “You”, “Him” or “None” presented before each picture for the respective block of instructions. Emotion awareness (EA) was also recorded using the TAS-20 alexithymia questionnaire. Corrugator supercilii (cs) muscle activity increased significantly between 500 and 1000 ms post stimulus onset during negative and neutral picture presentations, regardless of ownership. Independent of emotion, cs activity was greatest during the “no one” task and lowest during the “self” task from less than 250 to 1000 ms. Interestingly, the degree of cs activation during referential tasks was further modulated by EA. Low EA corresponded to significantly stronger cs activity overall compared with high EA, and this effect was even more pronounced during the “no one” task. The findings suggest that cognitive processes related to the perception of emotion ownership can influence spontaneous facial muscle activity, but that a greater degree of integration between higher cognitive and lower affective levels of information may interrupt or suppress these behavioural expressions of emotion.

scholarly journals Predicting subjective liking of bitter and sweet liquid solutions using facial electromyography during emptying, swirling, and while thinking about the taste

2017 ◽  
Author(s):  
Peter Robert Cannon ◽  
Bei Li ◽  
John M. Grigor
Keyword(s):  
Muscle Activity ◽  
Mixed Models ◽  
Affective State ◽  
Affective Responses ◽  
Facial Muscle ◽  
Facial Electromyography ◽  
Major Activity ◽  
Corrugator Supercilii ◽  
Liquid Solutions ◽  
Oral Processing

Hedonic responses to foods are often measured using subjective liking ratings scales. This is problematic because food behaviours are complex and single measurements points that occur after tasting are unable to capture an individual’s dynamic affective state. To address this limitation, techniques have been developed to sample subjective affective responses during oral processing, such as temporal dominance of emotion. These methods are also limited because they interrupt natural behaviours associated with food and oral processing. The present research investigates the potential use of electromyography as a means to predict subjective liking ratings using affective facial muscle activity recorded at different phases of oral processing while tasting liquids. Using linear mixed models, muscle activity recorded while emptying into the mouth, swirling, and thinking about the taste of bitter and sweet liquid solutions was used to predict subjective liking ratings. During different phases of the tasting, these mixed models demonstrate that zygomaticus major activity predicted increased liking and that corrugator supercilii and levator labii superioris predicted decreased liking. The change in liking ratings predicted by each muscle varied depending on whether participants were emptying, swirling, or thinking about the taste. We conclude that facial muscle activity is a valuable measure of affective responses during dynamic food behaviours.

DNA-fragmentation and expression of apoptosis-related proteins in experimentally denervated and reinnervated rat facial muscle

1997 ◽  
Vol 23 (3) ◽  
pp. 141-149 ◽  
Author(s):  
D. S. Tews ◽  
H. H. Goebel ◽  
I. Schneider ◽  
A. Gunkel ◽  
E. Stennert ◽  
...  
Keyword(s):  
Dna Fragmentation ◽  
Facial Muscle ◽  
Related Proteins

Smoothing Facilitates the Detection of Coupled Responses in Psychophysiological Time Series

2000 ◽  
Vol 14 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Joni Kettunen ◽  
Niklas Ravaja ◽  
Liisa Keltikangas-Järvinen
Keyword(s):  
Time Series ◽  
Type I Error ◽  
Electrodermal Activity ◽  
Moving Average ◽  
Type I ◽  
Facial Electromyography ◽  
Response Characteristics ◽  
Smoothing Methods ◽  
Response Systems ◽  
Different Response

Abstract We examined the use of smoothing to enhance the detection of response coupling from the activity of different response systems. Three different types of moving average smoothers were applied to both simulated interbeat interval (IBI) and electrodermal activity (EDA) time series and to empirical IBI, EDA, and facial electromyography time series. The results indicated that progressive smoothing increased the efficiency of the detection of response coupling but did not increase the probability of Type I error. The power of the smoothing methods depended on the response characteristics. The benefits and use of the smoothing methods to extract information from psychophysiological time series are discussed.

Facial Muscle Activity: High-Sensitivity Noncontact Measurement Using Laser Doppler Vibrometry

2021 ◽  
Vol 70 ◽  
pp. 1-10
Author(s):  
Sara Casaccia ◽  
Erik J. Sirevaag ◽  
Mark G. Frank ◽  
Joseph A. O'Sullivan ◽  
Lorenzo Scalise ◽  
...  
Keyword(s):  
Muscle Activity ◽  
High Sensitivity ◽  
Laser Doppler ◽  
Facial Muscle ◽  
Laser Doppler Vibrometry ◽  
Noncontact Measurement
Sign in / Sign up

Export Citation Format

Share Document