Jiayuan Gao

Unsupervised Human Activity Recognition Via Large Language Models and Iterative Evolution

Human activity recognition (HAR) is crucial for health monitoring and disease diagnosis in Internet-of-Things environments. However, existing HAR approaches either suffer from poor accuracy or achieve high accuracy at the expense of costly manual annotations. To overcome the challenge above, we prop…