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Are there any Body-movement Differences between Women and Men when they Laugh?
Hammoudeh, Ahmad Tayseer Ahmad; Maiorca, Antoine; Dupont, Stéphane et al.
2022In Proceedings of LREC
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Keywords :
Laughter Motion Analysis; gender-based differences; behavioral pschology; gesture
Abstract :
[en] Smiling differences between men and women have been studied in psychology. Women smile more than men although the expressiveness of women is not universally more across all facial actions. There are also body movement differences between women and men. For example, more open-body postures were reported for men, but are there any body-movement differences between men and women when they laugh? To investigate this question, we study body-movement signals extracted from recorded laughter videos using a deep learning pose estimation model. Initial results showed a higher Fourier Transform of thorax and shoulders movements for females while males had a higher Fourier transform of Elbows movement. The differences were not limited to a small frequency range but covered most of the frequency spectrum. However, further investigations are still needed.
Disciplines :
Electrical & electronics engineering
Computer science
Theoretical & cognitive psychology
Author, co-author :
Hammoudeh, Ahmad Tayseer Ahmad ;  Université de Mons - UMONS > Faculté Polytechnique > Service Information, Signal et Intelligence artificielle
Maiorca, Antoine ;  Université de Mons - UMONS > Faculté Polytechnique > Service Information, Signal et Intelligence artificielle
Dupont, Stéphane  ;  Université de Mons - UMONS > Faculté des Sciences > Service d'Intelligence Artificielle
Dutoit, Thierry ;  Université de Mons - UMONS > Faculté Polytechnique > Service Information, Signal et Intelligence artificielle
Language :
English
Title :
Are there any Body-movement Differences between Women and Men when they Laugh?
Publication date :
2022
Event name :
LREC 2022 - 13th Conference on Language Resources and Evaluation
Event date :
6/2022
Audience :
International
Journal title :
Proceedings of LREC
Peer reviewed :
Peer reviewed
Research unit :
F105 - Information, Signal et Intelligence artificielle
S841 - MAIA - Service d'Intelligence Artificielle
Research institute :
R450 - Institut NUMEDIART pour les Technologies des Arts Numériques
Funders :
Service Public de Wallonie Recherche
Funding number :
2010235
Funding text :
This work was supported by Service Public de Wallonie Recherche under grant n° 2010235 ARIAC by DIGITALWALLONIA4.AI
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