Virtual reality (VR)-based immersive analysis has become an alternative to traditional approaches for analyzing complex, multidimensional human motion data. However, existing VR-based methods lack detailed information about hand motion and object interaction, which is essential for interpreting human activities and identifying their needs. To address that, we present a new VR system, VRMoVi, with a unique design of three expressive visualization layers: 1) a 3D tube layer for hand/object general motion, 2) a hand-object avatar layer for hand-object interaction animation, and 3) a particle-with-arrow layer for detailed hand positions and orientations. We validated VRMoVi with a real-world VR human motion dataset and conducted a user study with 24 participants. Compared with other visualization conditions, VRMoVi performed significantly better than the traditional 2D condition and slightly better than the standard VR-based condition; users found VRMoVi to be comprehensible, immersive, easy to use, and useful for interpreting human activity data.
翻译:现有的基于虚拟现实的方法缺乏有关手部运动和物体交互的详细信息,这是解释人类活动和识别其需求所必需的。为了解决这个问题,我们提出了一种新的虚拟现实系统VRMoVi。它采用了三种独特的表现层设计:1)用于手/物体总体运动的3D管道层,2)用于手/物体交互动画的手/物体化身层,3)用于手部位置和方向的详细信息的粒子箭头层。我们使用一个真实的虚拟现实人体运动数据集验证了VRMoVi,并对24名受试者进行了用户研究。与其他可视化条件相比,VRMoVi的表现明显优于传统的2D和标准的基于虚拟现实的条件; 用户发现VRMoVi易于理解、沉浸、易于使用,且可用于解释人类活动数据。