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Sayette Group Formation Task (GFT) Spontaneous Facial Expression Database.

Jeffrey M Girard1, Wen-Sheng Chu2, László A Jeni2

  • 1Department of Psychology, University of Pittsburgh, Pittsburgh, PA 15260.

Proceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition
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The new Group Formation Task (GFT) database offers annotated videos of multiple interacting individuals, advancing automated facial expression analysis. Deep learning and active patch learning methods showed the highest performance in analyzing these social interactions.

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Area of Science:

  • Psychology
  • Computer Science
  • Human-Computer Interaction

Background:

  • Facial expressions are crucial for interpersonal communication.
  • Social context significantly influences interpersonal behavior.
  • Existing facial expression databases lack multiple interacting participants.

Purpose of the Study:

  • Introduce the Sayette Group Formation Task (GFT) database.
  • Provide well-annotated video of unscripted, multi-participant interactions.
  • Facilitate the development of automated facial expression analysis systems.

Main Methods:

  • Collected 172,800 video frames from 96 participants in 32 three-person groups.
  • Annotated videos with Facial Action Coding System (FACS) occurrence and intensity.
  • Performed facial landmark tracking and established baseline classification results.

Main Results:

  • Deep learning and active patch learning methods achieved the highest performance scores.
  • Baseline performance was quantified and compared using various metrics.
  • Provided comparative analysis of linear SVM, deep learning, active patch learning, and personalized classification.

Conclusions:

  • The GFT database is a valuable resource for studying social interactions.
  • Automated facial expression analysis systems can be improved using this database.
  • Advanced machine learning techniques show promise for analyzing complex social dynamics.