ISIA Lab publications in LREC 2022 – SMILA workshop.
The International Conference on Language Resources and Evaluation (LREC) was held in Marseille in France from 21/6 to 25/6. The accepted papers were published in the proceedings of LREC 2022: http://www.lrec-conf.org/proceedings/lrec2022/workshops/SmiLa/index.html
The ISIA lab publications are shown below:
Title
Are there any Body-movement Differences between Women and Men when they Laugh?
Authors
Ahmad Hammoudeh, Antoine Maiorca, Stéphabe Dupont, and Thierry Dutoit
Abstract
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.
Title
Analysis of Co-Laughter Gesture Relationship on RGB videos in Dyadic Conversation Context
Authors
Hugo Bohy, Ahmad Hammoudeh, Antoine Maiorca, Stéphabe Dupont, and Thierry Dutoit
Abstract
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.
