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Communication Dans Un Congrès Année : 2024

Interactive Visualization and Dexterity Analysis of Human Movement: AIMove Platform

Brenda Olivas Padilla
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Sotiris Manitsaris
Alina Glushkova

Résumé

This paper introduces an innovative web-based platform for visualizing, analyzing, and generating human movement, leveraging explainable artificial intelligence (AI). It addresses the challenge of limited data by offering one-shot and data-intensive training approaches, facilitates data aug- mentation, and provides insights into human dexterity through user interaction with the learned movement models. The paper outlines the prototype’s implementation, highlighting its tools for analyzing and visualizing complex movements, and discusses its application in analyzing professional movements within the heritage crafts and manufacturing industry. Future work aims to expand its motion capture technology compatibility and improve analytical functionalities. This enhancement seeks to extend the platform’s reach, making it a valuable tool for researchers and professionals across various disciplines.
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Dates et versions

hal-04608063 , version 1 (17-06-2024)

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  • HAL Id : hal-04608063 , version 1

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Brenda Olivas Padilla, Sotiris Manitsaris, Alina Glushkova. Interactive Visualization and Dexterity Analysis of Human Movement: AIMove Platform. 18th IEEE conference series on Automatic Face and Gesture Recognition (FG), May 2024, Instabul, Turkey. ⟨hal-04608063⟩
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