Recent years have seen incredible growth of Virtual Reality (VR) interfaces. In the area of data visualization and analytics, VR applications offers immense opportunities to interact, modify and explore 3D data in an interactive manner, which help in establishing new trends and patterns. In this regard, object selection is of primary importance. It is the fundamental and initial task in any immersive VR. However, the current literature is limited in investigating the effectiveness of object selection techniques in different VEs including dense and occluded dense VE, varied object sizes, proximity, and distances in the area of Immersive Analytics. In this paper, I present my ongoing PhD research to explore controller-less gestures for nail-size object selection on HMD-VR interface for dense and occluded dense VE. I describe the experiments, the findings and my future studies. I believe the outcome of these experiments in the form of guidelines or framework will enable researchers to design controller-less body gestures for object selection task. © 2021 IEEE.