Powered by the technologies that have originated from manufacturing, the fourth revolution
of healthcare technologies is happening (Healthcare 4.0). As an example of such revolution …

The use of videogames and motion capture systems in rehabilitation contributes to the
recovery of the patient. This systematic review aimed to explore the works related to these …

This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most
existing research on HOI synthesis lacks comprehensive whole-body interactions with …

How can we animate 3D-characters from a movie script or move robots by simply telling
them what we would like them to do?" How unstructured and complex can we make a …

We propose a new architecture for the learning of predictive spatio-temporal motion models
from data alone. Our approach, dubbed the Dropout Autoencoder LSTM (DAELSTM), is …

Linking human motion and natural language is of great interest for the generation of
semantic representations of human activities as well as for the generation of robot activities …

Our goal is to populate digital environments, in which digital humans have diverse body
shapes, move perpetually, and have plausible body-scene contact. The core challenge is to …

Text-to-motion models excel at efficient human motion generation, but existing approaches
lack fine-grained controllability over the generation process. Consequently, modifying subtle …

Generative modeling of human motion has broad applications in computer animation, virtual
reality, and robotics. Conventional approaches develop separate models for different motion …

We present a lightweight and affordable motion capture method based on two smartwatches
and a head-mounted camera. In contrast to the existing approaches that use six or more …