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Improved Human Activity Recognition Through Controllable GAN-Generated Synthetic Data and Large Language Models for Classification

2024-12-03

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<title>Abstract</title> <p>Human Activity Recognition (HAR) is crucial in healthcare monitoring and smart home systems, tracking patient movements, de- tecting falls, and monitoring daily activities. Despite its importance, HAR faces significant challenges due to the scarcity of large-scale, diverse datasets and the lack of data representing abnormal activities, essential for detecting rare but critical health ev...

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Literature Corpus work: 068730cd-d356-5b2e-8587-dc6f669ab55d
DOI: 10.21203/rs.3.rs-5482699/v1

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