Integrating SLAM information beyond just camera angular velocity, such as 3D scene geometry, could significantly enhance the accuracy and robustness of WHAM's global trajectory estimation. By leveraging detailed 3D scene information obtained from SLAM methods, WHAM can better disentangle the entanglement between camera and human motion, leading to more precise global trajectory estimation. Incorporating scene geometry data can help in understanding the spatial relationships between the human subject and the environment, enabling WHAM to account for obstacles, terrain variations, and other scene-specific factors that may affect human motion. This additional information can improve the overall performance of WHAM in diverse real-world scenarios where the scene context plays a crucial role in human motion analysis.