3.8 Proceedings Paper

The AffectMove Challenge : some machine learning approaches

出版社

IEEE
DOI: 10.1109/ACIIW52867.2021.9666318

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Body movements signals processing; Features extraction; Supervised machine learning methods

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This paper describes the implementation of machine learning methods in the AffectMove challenge for classifying body movements in physical rehabilitation, mathematical problem solving, and interactive dance contexts. The methods, results, and future work are presented.
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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