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CoreUI: Interactive Core Training System with 3D Human Shape
arXiv - CS - Human-Computer Interaction Pub Date : 2021-06-17 , DOI: arxiv-2106.09196
Haoran Xie, Atsushi Watatani, Kazunori Miyata

We present an interactive core training system for core training using a monocular camera image as input in this paper. It is commonly expensive to capture human pose using depth cameras or multiple cameras with conventional approaches. To solve this issue, we employ the skinned multi-person linear model of human shape to recover the 3D human pose from 2D images using pose estimation and human mesh recovery approaches. In order to support the user in maintaining the correct postures from target poses in the training, we adopt 3D human shape estimation for both the target image and input camera video. We propose CoreUI, a user interface for providing visual guidance showing the differences among the estimated targets and current human shapes in core training, which are visualized by markers at ten body parts with color changes. From our user studies, the proposed core training system is effective and convenient compared with the conventional guidance of 2D skeletons.

中文翻译:

CoreUI:具有 3D 人体形状的交互式核心训练系统

我们提出了一个交互式核心训练系统,用于使用单目相机图像作为本文输入的核心训练。使用传统方法使用深度相机或多个相机捕捉人体姿势通常很昂贵。为了解决这个问题,我们采用人体形状的蒙皮多人线性模型,使用姿势估计和人体网格恢复方法从 2D 图像中恢复 3D 人体姿势。为了支持用户在训练中根据目标姿势保持正确姿势,我们对目标图像和输入摄像机视频均采用 3D 人体形状估计。我们提出了 CoreUI,这是一个用户界面,用于提供视觉指导,显示核心训练中估计目标和当前人体形状之间的差异,这些差异通过颜色变化的十个身体部位的标记进行可视化。
更新日期:2021-06-18
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