CoreUI: Interactive Core Training System with 3D Human Shape
release_ryg432l4xndynbxrf3z7bq3yqa
by
Haoran Xie and Atsushi Watatani and Kazunori Miyata
2021
Abstract
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.
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