Microsoft Kinect, a low-cost motion sensing device, enables users to interact with computers
or game consoles naturally through gestures and spoken commands without any other …

This paper proposes a new method for view-invariant action recognition that utilizes the
temporal position of skeletal joints obtained by Kinect sensor. In this method, the actions are …

Gait recognition from motion capture data, as a pattern classification discipline, can be
improved by the use of machine learning. This article contributes to the state of the art with a …

In this paper, we propose a novel approach for key frames extraction on human action
recognition from 3D video sequences. To represent human actions, an Energy Feature (EF) …

This paper presents Kinect‐based vision system of mine rescue robot working in illuminous
underground environment. The somatosensory system of Kinect is used to realize the hand …

Human-machine interaction is a popular research filed recently. Microsoft Kinect can provide
us an economical way for tracking the skeleton of the human body. In this study, we present …

Most researches on human activity recognition do not take into account the temporal
localization of actions. In this paper, a new method is designed to model both actions and …

Human-computer interaction has attracted much attention in recent years, especially in the
field of entertainment. In our previous study, we presented an effective method of Kinect …

The Tujia nationality's brocade (short as Tujia brocade) is one of the Tujia traditional
handicrafts, and is considered as the highest value and the most symbolic cultural art in the …

Human action recognition based on RGB-D sequences is an important research direction in
the field of computer vision. In this work, we incorporate the skeleton on the Grassmann …