Proximity sensors and 2D vision methods have shown to work robustly in particle filter-based Monte Carlo Locali-sation (MCL). It would be interesting however to examine whether modern 3D vision sensors would be equally efficient for localising a robotic wheelchair with MCL. In this work, we introduce a visual Region Locator Descriptor, acquired from a 3D map using the Kinect sensor to conduct l...

This paper addresses a practical and challenging problem concerning the recognition of behavioral symptoms dementia (BSD) such as aggressive and agitated behaviors. We propose two new algorithms for the recognition of these behaviors using two different sensors such as a Microsoft Kinect and an Accelerometer sensor. The first algorithm extracts skeleton based features from 3D joint positions da...

The Kinect sensor was introduced in November 2010 by Microsoft for the Xbox 360 video game system. The sensor unit is connected to a base with a motorized pivot. It was designed to be positioned above or below a video display and to track player body and hand movements in 3D space, which allows users to interact with the Xbox 360. The device contains a RGB camera, depth sensor, IR light source,...

Dementia is one of the main reasons for elderly people becoming dependent on care. Antagonistic exercise, which involves performing different movements with the upper and lower limbs on the left and right sides, is a form of exercise that uses cognitive and motor functions at the same time. Preventive care professionals who can lead this sort of exercise are few in number compared with elderly ...

Microsoft Kinect can be used for computationally inexpensive acquisition of skeleton tracking in real time. For human activity recognition, it appears to provide an opportunity for researchers to achieve good performance at low cost. However, two issues still remain. Firstly, the Kinect skeleton tracker often captures unnatural skeleton poses, such as discontinuous and vibrated motions, in the ...

This paper presents a novel framework for combining Microsoft Kinect device (Kinect) and Leap Motion sensor with Java Monkey Engine and utilizing it for natural human computer interaction. The framework supports the standard input devices (keyboard, mouse) as well as selected motion tracking sensors Microsoft Kinect, Leap Motion). To demonstrate its aplicability, the framework was subsequently ...

Low-cost motion sensors have seen tremendous increase in popularity in the past few years. Accelerometers, gyroscopes or cameras can be found in most available smart phones and gaming controllers. The Apple iPhone, Nintendo Wii and the PlayStatio EyeToy are just a few examples where such technology is used to provide a more natural interaction for the user. Depth-sensing cameras by companies su...

This article proposes the analysis on novel human computer interaction (HCI) platform based college mathematical education methodology. Above for the application of virtual reality technology in teaching the problems in the study, only through the organization focus on the professional and technical personnel, and constantly improve researchers in development process of professional knowledge, ...

Viewpoints is a contemporary theatrical composition technique for understanding the expressive powers of gesture used to formally describe a dance performance or theatrical movement (Bogart 2005). We describe a computational system that integrates a gesturebased interface (Kinect), theatrical aesthetics framework (Viewpoints), AI reasoning architecture (Soar), and visualized embodiment of the A...

In this paper we present a markerless augmented reality (MAR) approach based on real-time 3D reconstruction using a low-cost depth camera, the Kinect. We intend to use this MAR approach for 3D medical visualization. In the actual state of developing, our approach is based on the KinectFusion algorithm with some minor adaptations, as long as our goal is not reconstruct scenes but use the reconst...