The computer vision community has extensively researched the area of human motion
analysis, which primarily focuses on pose estimation, activity recognition, pose or gesture …

Elderly people can be provided with safer and more independent living by the early
detection of abnormalities in their performing actions and the frequent assessment of the …

Ambient Assisted Living (AAL) systems based on sensor technologies are seen as key
enablers to an ageing society. However, most approaches in this space do not provide a …

We propose a general method for online estimation of the quality of movements from Kinect
skeleton data. A robust non-linear manifold learning technique is used to reduce the …

Quantitative assessment of the quality of motion is increasingly in demand by clinicians in
healthcare and rehabilitation monitoring of patients. We study and compare the …

Analysis and quantification of human motion to support clinicians in the decision-making
process is the desired outcome for many clinical-based approaches. However, generating …

In this paper, a Hidden Semi-Markov Model (HSMM) based approach is proposed to
evaluate and monitor body motion during a rehabilitation training program. The approach …

In recent years, many systems for motion analysis of infants have been developed which
either use markers or lack 3D information. We propose a system that can be trained fast and …

This paper aims to determine which is the best human action recognition method based on
features extracted from RGB-D devices, such as the Microsoft Kinect. A review of all the …

There is a clear advantage to developing automated systems to detect human motion in the
field of computer vision for applications associated with healthcare. We have compiled a …