Sensing

Multimodal learning analytics: Society 5.0 project in Japan

Representing a partially observed non-rigid 3D human using eigen-texture and eigen-deformation

Reconstruction of the shape and motion of humans from RGB-D is a challenging problem, receiving much attention in recent years. Recent approaches for full-body reconstruction use a statistic shape model, which is built upon accurate full-body scans …

ReMagicMirror: Action learning using human reenactment with the mirror metaphor

We propose ReMagicMirror, a system to help people learn actions (e.g., martial arts, dances). We first capture the motions of a teacher performing the action to learn, using two RGB-D cameras. Next, we fit a parametric human body model to the depth …