paper-conference

Neural networks need big annotated datasets for training. However, manual annotation can be too expensive or even unfeasible for …

To facilitate the analysis of human actions, interactions and emotions, we compute a 3D model of human body pose, hand pose, and facial …

Estimating hand-object manipulations is essential for interpreting and imitating human actions. Previous work has made significant …

Although commercial and open-source software exist to reconstruct a static object from a sequence recorded with an RGB-D sensor, there …

Recent advances have enabled 3d object reconstruction approaches using a single off-the-shelf RGB-D camera. Although these approaches …

Hand motion capture has been an active research topic in recent years, following the success of full-body pose tracking. Despite …

Benchmarking methods for 3d hand tracking is still an open problem due to the difficulty of acquiring ground truth data. We introduce a …

Post-amputation sensation often translates to the feeling of severe pain in the missing limb, referred to as phantom limb pain (PLP). A clear and rational treatment regimen is difficult to establish, as long as the underlying pathophysiology is not fully known.

An innovative pain management system, namely Epione, is presented here. Epione deals with three main types of pain, i.e., acute pain, chronic pain, and phantom limb pain. In particular, by using facial expression analysis, Epione forms a dynamic pain meter, which then triggers biofeedback and augmented reality-based destruction scenarios, in an effort to maximize patient’s pain relief.