Facial Expressions Analysis of Human and Animal Behavior

Organisers: Moi Hoon Yap (Manchester Metropolitan University, UK, Chair), Adrian Keith Davison (University of Manchester, UK) and Daniel Leightley (King’s College London, UK)

Short name (in EasyChair): Facial Expressions (S9)


Face and gesture reveal one's health, age, emotion/feelings, intention and is a vital biometric characteristic. Tremendous research is being carried out in the fields of psychology, physiology and computer vision/technology. This symposium focuses on datasets/data sharing, technological challenges in analysis/measurement of human and animal facial expressions and its implication of behaviors to real-world applications. We aim to promote interactions between researchers, scholars, practitioners, engineers and students from across industry and academia on facial expressions analysis. Cross-discipline work is highly encouraged. We welcome original works that address a wide range of issues including, but not limited to:

  • Analysis of facial expressions for real-world applications
  • Subtle/micro face and gesture movements analysis
  • Technology in automated behavior measurement
  • Machine learning and deep learning in face and gesture analysis
  • Real-time face and motion analysis
  • Face and motion recognition on mobile devices
  • Pain assessment on veterinary sciences
  • The ongoing challenges of subtle motion analysis
  • Behavior technology in-the-wild

10:00-10:20    Tiffany Drape and Stacy Vincent
Measuring Response to Racial Bias Among Preservice Teachers During a Class Intervention
10:20-10:40    Daniel Leightley
Modelling attributes of common mental health disorders in adolescents using audio-visual data
10:40-11:00    Gemma Stringer, Laura Brown and Moi Hoon Yap
Taking Research to the Community: An Initial Protocol for the Experimental Measurement of Emotional Expression in People with Dementia
11:00-11:30    Coffee
11:30-11:50    Cristina Palmero, Elsbeth van Dam, Sergio Escalera, Mike Kelia, Guido Lichtert, Lucas Noldus, Andrew Spink and Astrid van Wieringen
 Automatic mutual gaze detection in face-to-face dyadic interaction videos
11:50-12:10    Maheen Rashid, Sofia Broomé, Pia Haubro Andersen, Karina Gleerup and Yong Jae Lee
What should I annotate? An automatic tool for finding video segments for EquiFACS annotation
12:10-12:30    Andreas Maroulis
Baby FaceReader AU classification for Infant Facial Expression Configurations
12:30-14:00    Lunch
14:00-14:20    Pia Haubro Andersen, Karina Bech Gleerup, Jennifer Wathan, Britt Coles, Hedvig Kjellström, Sofia Broomé, Yong Jae Lee, Maheen Rashid, Erika Rosenberg, Claudia Sonder and Deborah Forster
Can a Machine Learn to See Horse Pain? An Interdisciplinary Approach Towards Automated Decoding of Facial Expressions of Pain in the Horse
14:20-14:40    Luís M. Cunha, Célia Rocha and Rui Costa Lima
A new approach to analyse facial behaviour elicited by food products: Temporal Dominance of Facial Emotions (TDFE)
14:40-15:00    Karen Lander, Judith Bek and Ellen Poliakoff
Measuring recognition of emotional facial expressions by people with Parkinson’s disease using an eye-tracking methodology
15:00-15:20    Discussion

FaceReader mesh