LLMs Enhance Human Motion Understanding via Temporal Visual Semantics

This research explores a novel application of Large Language Models (LLMs) in interpreting human motion by incorporating temporal visual semantics. The integration of visual information with LLMs demonstrates the potential for advanced human-computer interaction and scene understanding.

• •Applies Large Language Models (LLMs) to human motion understanding.
• •Integrates temporal visual semantics for improved interpretation.
• •Potentially enhances human-computer interaction capabilities.