Article

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

2024-10-21

Abstract excerpt

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 events. This paper addresses t...

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Literature Corpus work: a7b1c5fa-7092-59d4-a733-d5f6204d54dd
DOI: 10.22541/au.172951415.59941730/v1

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