The increase in the number of elderly patients with degenerative diseases has brought
additional medical and financial pressures, which are adding to the burden on society. The …

Pose estimation has various applications in analyzing human body movement and behavior,
including providing feedback to users about their movements so they can adjust and …

Previous methods for skeleton-based gesture recognition mostly arrange the skeleton
sequence into a pseudo image or spatial–temporal graph and apply a deep Convolutional …

Robots can play a significant role as assistive devices for people with movement impairment
and mild cognitive deficit. In this paper we present an overview of the lightweight i-Walk …

This paper presents the development of a child-robot interaction (CRI) system for
edutainment scenarios, aiming to provide a framework for their design and to simplify access …

Online human leg tracking and gait analysis are crucial functionalities for mobility assistant
robots, like intelligent walkers. Usually, such walkers are equipped with various sensors for …

In this paper, we present a hand pose based gesture representation that can effectively
classify both static and dynamic gestures. In contrast to resource and data intensive deep …

Nowadays, the interaction between humans and robots is constantly expanding, requiring
more and more human motion recognition applications to operate in real time. However …

Pose estimation has various applications in analyzing human movement and behavior,
including providing feedback to users about their movements so they could adjust and …

The treatment of gait impairments has increasingly relied on rehabilitation therapies which
benefit from the use of smart walkers. These walkers still lack advanced and seamless …