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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| Vydané v: | International Journal of Activity and Behavior Computing Ročník 2025; číslo 2; s. 1 - 14 |
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| Hlavný autor: | |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Care XDX Center, Kyushu Institute of Technology
22.05.2025
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| ISSN: | 2759-2871 |
| On-line prístup: | Získať plný text |
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