Class-Conditioned Variational Autoencoder with Evolutionary Optimization for the Virtual Data Generation Challenge

Human activity recognition (HAR) plays a crucial role in optimizing packing operations in industrial settings. However, HAR performance is often constrained by the limited availability of labeled data. To address this issue, we propose a novel data augmentation framework using conditional variationa...

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Bibliographic Details

Published in:	International Journal of Activity and Behavior Computing Vol. 2025; no. 2; pp. 1 - 14
Main Author:	Tachioka, Yuuki
Format:	Journal Article
Language:	English
Published:	Care XDX Center, Kyushu Institute of Technology 22.05.2025
ISSN:	2759-2871
Online Access:	Get full text
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