TSkel-Mamba: Advancing Human Action Recognition with State Space Models

This research explores a novel approach to human action recognition using a state space model, specifically TSkel-Mamba. The application of state space models to temporal dynamic modeling shows potential for improved accuracy in analyzing human skeletal data.

• •TSkel-Mamba leverages state space models for temporal dynamic modeling.
• •The research aims to improve the accuracy of human action recognition.
• •The approach uses human skeletal data as input.