Evidence map›Paper›PMID 36207524›Full record

ArticleScientific reports2022

Facial EMG sensing for monitoring affect using a wearable device.

Martin Gjoreski, Ivana Kiprijanovska, Simon Stankoski, Ifigeneia Mavridou, M John Broulidakis, Hristijan Gjoreski, Charles Nduka

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Facial Expressions as a Nexus for Health Assessment.Bioengineering (Basel, Switzerland) · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Crosstalk in Facial EMG and Its Reduction Using ICA.Sensors (Basel, Switzerland) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Martin GjoreskiFaculty of Informatics, Università della Svizzera italiana, 6900, Lugano, Switzerland. martin.gjoreski@usi.ch.
Ivana KiprijanovskaEmteq Ltd., Brighton, BN1 9SB, UK.
Simon StankoskiEmteq Ltd., Brighton, BN1 9SB, UK.
Ifigeneia MavridouEmteq Ltd., Brighton, BN1 9SB, UK.
M John BroulidakisEmteq Ltd., Brighton, BN1 9SB, UK.
Hristijan GjoreskiEmteq Ltd., Brighton, BN1 9SB, UK.
Charles NdukaEmteq Ltd., Brighton, BN1 9SB, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using a novel wearable surface electromyography (sEMG), we investigated induced affective states by measuring the activation of facial muscles traditionally associated with positive (left/right orbicularis and left/right zygomaticus) and negative expressions (the corrugator muscle). In a sample of 38 participants that watched 25 affective videos in a virtual reality environment, we found that each of the three variables examined-subjective valence, subjective arousal, and objective valence measured via the validated video types (positive, neutral, and negative)-sEMG amplitude varied significantly depending on video content. sEMG aptitude from "positive muscles" increased when participants were exposed to positively valenced stimuli compared with stimuli that was negatively valenced. In contrast, activation of "negative muscles" was elevated following exposure to negatively valenced stimuli compared with positively valenced stimuli. High arousal videos increased muscle activations compared to low arousal videos in all the measured muscles except the corrugator muscle. In line with previous research, the relationship between sEMG amplitude as a function of subjective valence was V-shaped.

Indexed as

Facial MusclesWearable Electronic DevicesAffectArousalElectromyographyEmotionsFaceFacial ExpressionHumans

Identifiers

PMID36207524
PMCPMC9542454

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.