HandSolo: A Mid-Air Hand Pose Interaction Method Based on Disentangled Degrees-of-Hand-Freedom
Songpei Xu, Xuri Ge, Chaitanya Kaul, Roderick Murray‐Smith · 2025
This study aims to utilise mid-air hand-pose movements to implement various interactive controls, e.g. dial and slider controlling, through independent low-dimensional embeddings. Towards this, we develop a novel adjustable hand-pose space disentanglement approach for a learnable VAE-based high-to-low dimensional embedding model (HandSolo). It disentangles the latent embeddings intomultiple independent one- or two-dimensional embedding spaces, enabling independent control. HandSolo allows multi-dimensional settings and multi-DOF combinations, providing a new paradigm for flexible and extensible hand-pose interaction systems. Additionally, to exploit model potential and make user interaction comfortable, we propose a visual interaction evaluation strategy (VIEs) to help system designers understand model capability and user habits. Finally, we provide an example virtual interaction system that integrates various virtual interaction objects, showing how our innovations improve their interaction capabilities. Experimental user studies demonstrate the effectiveness of our embedding-disentanglement designs, including discovery experiment (n=4) for VIEs, inspiration experiment (n=4) for approach extensibility, and exploration experiment (n=8) for the virtual interaction system.