Continuous automated analysis of facial dynamics of brachycephalic and normocephalic dogs in different contexts.

Journal: BMC veterinary research
Published Date:

Abstract

This study develops a novel automated method for measuring continuous dynamics of dog facial behavior based on video-based tracking of 46 facial landmarks grounded in the Dog Facial Action Coding System. This method is applied for comparing the facial behavior of ( ) brachycephalic (Boston Terrier) and ( ) normocephalic (Jack Russel Terrier) dogs in four different contexts, eliciting various inner states: positive (play and called by name) and negative (separation and stranger). Having objectively quantified facial dynamics in brachycephalic and normocephalic dogs, we have found that brachycephalic dogs exhibited consistently lower facial dynamics across all four tested contexts and facial regions (eyes, mouth, and ears) compared to normocephalic dogs. They further demonstrated relatively higher dynamics in positive play and negative stranger conditions than in the other two conditions. In contrast, normocephalic dogs showed elevated dynamics exclusively in the positive play condition, with significantly reduced dynamics in the negative stranger condition. These findings highlight distinct patterns of facial expressivity between the two morphological groups, suggesting decreased facial expression in brachycephalic dogs and demonstrating our method's value in providing novel insights into canine communication.

Authors

  • George Martvel
    Information Systems Department, University of Haifa, Haifa, Israel.
  • Petra Eretová
    Czech University of Life Sciences, Prague, Czech Republic.
  • Lucie Přibylová
    Czech University of Life Sciences, Prague, Czech Republic.
  • Helena Chaloupková
    Czech University of Life Sciences, Prague, Czech Republic.
  • Péter Pongrácz
    ELTE Eötvös Loránd University, Budapest, Hungary.
  • Ilan Shimshoni
    Information Systems Department, University of Haifa, Haifa, Israel.
  • Noam Chen Cittone
    University of Haifa, Haifa, Israel.
  • Yuval Michaeli
    University of Haifa, Haifa, Israel.
  • Dan Grinstein
    University of Haifa, Haifa, Israel.
  • Anna Zamansky
    Information Systems Department, University of Haifa, Haifa, Israel.