Recent advances in computer vision technologies have made possible the development of
intelligent monitoring systems for video surveillance and ambient-assisted living. By using …

Interest in RGB-D devices is increasing due to their low price and the wide range of possible
applications that come along. These devices provide a marker-less body pose estimation by …

We present a review on the current state of publicly available datasets within the human
action recognition community; highlighting the revival of pose based methods and recent …

Abstract Since the Microsoft Kinect has been released, the usage of marker-less body pose
estimation has been enormously eased. Based on 3D skeletal pose information, complex …

Due to progress and demographic change, society is facing a crucial challenge related to
increased life expectancy and a higher number of people in situations of dependency. As a …

The growing share of the population over the age of 65 is putting pressure on the social
health insurance system, especially on institutions that provide long-term care services for …

The most challenging objective in machine translation of sign language has been the
machine? s inability tolearn interoccluding finger movements during an action process. This …

The potential benefits of recognising activities of daily living from video for active and
assisted living have yet to be fully untapped. These technologies can be used for behaviour …

Understanding and defining the meaning of “action” is substantial for robotics research. This
becomes utterly evident when aiming at equipping autonomous robots with robust …

This paper introduces a human action recognition method based on skeletal data captured
by Kinect or other depth sensors. After a series of pre-processing, action features such as …