The AffectMove Challenge: some machine learning approaches - IMT Mines Alès
Communication Dans Un Congrès Année : 2021

The AffectMove Challenge: some machine learning approaches

Résumé

This paper describes some machine learning methods that we have implemented to participate in the AffectMove challenge which aims to develop technologies for classification of body movements in the areas of physical rehabilitation of chronic pain, mathematical problem solving and interactive dance contexts. The methods and results obtained are presented as well as some futureworks.
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Dates et versions

hal-03531261 , version 1 (28-04-2022)
hal-03531261 , version 2 (02-05-2022)

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Citer

Gérard Dray, Pierre-Antoine Jean, Yann Maheu, Jacky Montmain, Nicolas Sutton-Charani. The AffectMove Challenge: some machine learning approaches. ACIIW 2021 - 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, Sep 2021, Nara, Japan. pp.01-05, ⟨10.1109/ACIIW52867.2021.9666318⟩. ⟨hal-03531261v2⟩
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