Purpose Rehabilitation robots with intent recognition are helping people with dysfunction to
enjoy better lives. Many rehabilitation robots with intent recognition have been developed by …

Autism is a behavioral neurological disorder affecting a significant percentage of worldwide
population. It especially starts manifesting at very low ages, but it is difficult to early diagnose …

Fast and accurate human intention prediction can significantly advance the performance of
assistive devices for patients with limited motor or communication abilities. Among available …

Modeling dynamics of human motion is one of the most challenging sequence modeling
problem, with diverse applications in animation industry, human-robot interaction, motion …

This paper aims at investigating the action prediction problem from a pure kinematic
perspective. Specifically, we address the problem of recognizing future actions, indeed …

In this work, we present a method to predict an entire 'action tube'(a set of temporally linked
bounding boxes) in a trimmed video just by observing a smaller subset of it. Predicting …

This work introduces stochastic models to address the problem of complex motion
generation. Long-term motion generation is the primary task in several fields; however, less …

Prediction of the action outcome is a new challenge for a robot collaboratively working with
humans. With the impressive progress in video action recognition in recent years, fine …

One of the main issues for a robotic passer is to detect the onset of a handover, in order to
avoid the object from being released when the human partner is not ready or if some impact …

Traumatic brain injury (TBI) is a growing public health concern that can lead to various long-
lasting physical disabilities and cognitive disorders. Depending on the severity level of the …