A Conceptual Framework for Multidimensional Human Activity Recognition Using Large Language Models

Integrating Large Language Models (LLMs) into Human Activity Recognition (HAR) systems using data from wearable sensors has the potential to revolutionize emergency response and elder care by enabling more accurate risk assessment, resource allocation, and real-time decision-making.