Recognition of Group Actions from Individual Actions in Brainstorming Sessions

Shigeru Fujita, Kenji Sugawara, Thierry Gidel (), Claude Moulin and Insaf Setitra
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Shigeru Fujita: CIT - Chiba Institute of Technology
Kenji Sugawara: CIT - Chiba Institute of Technology
Thierry Gidel: COSTECH - Connaissance Organisation et Systèmes TECHniques - UTC - Université de Technologie de Compiègne
Claude Moulin: Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne] - UTC - Université de Technologie de Compiègne - CNRS - Centre National de la Recherche Scientifique
Insaf Setitra: Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne] - UTC - Université de Technologie de Compiègne - CNRS - Centre National de la Recherche Scientifique

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Abstract: In this paper we show how an artificial intelligence system is able to recognize actions of a group of people during remote meetings. It is based on the combination of several basic detections. We explain why it is a very important task in order to help a coach manage teams. In particular, we explain how the recognition of discussions allows to measure the collaboration between participants or possibly their isolation. We detail the action of Eye Contact where two people look at each other during a discussion. We present the algorithm of the module of our system in charge of the recognition of an Eye Contact action and the difficulties raised by this module. We conclude with the heuristics rules that would allow to detect higher level of group actions from individual actions in brainstorming sessions.

Keywords: Neural Network; Video Dataset; Attention target detection; group actions; heuristics; Eye Contact Detection; Eye-contact (search for similar items in EconPapers)
Date: 2025-05-07
Note: View the original document on HAL open archive server: https://hal.science/hal-05388863v1
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Published in IEEE 28th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2025, May 2025, Compiègne, France, France. 2025

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