Falls are very common in elderly due to various physical constraints. Since falls may cause serious injury and even death, fall detection systems are very important, especially when the victim is alone at home or is unable to seek regular/timely medical assistance. In this paper, development of a fall detection system based on Kinect sensor is evaluated. Microsoft Kinect is a low cost RGB-D sen...

In this paper, we present a novel approach for fusing 3D Local Binary Pattrns (3DLBP) and singular Value Decomposition (SVD) for face recognition when ”Kinect” is used as the 3D face scanner. Another approach is used to compare the 3DLBP method, fused with SVD, with other methods proposed in the literature for face recognition by using Kinect. Experimental results on FRGC 2.0 face dataset showe...

During the last three years after the launch of the Microsoft Kinect R © in the end-consumer market we have become witnesses of a small revolution in computer vision research towards the use of a standardized consumer-grade RGBD sensor for scene content retrieval. Beside classical localization and motion capturing tasks the Kinect has successfully been employed for the reconstruction of opaque ...

Psychological studies indicate that emotional states are expressed in the way people walk and the human gait is investigated in terms of its ability to reveal a person’s emotional state. And Microsoft Kinect is a rapidly developing, inexpensive, portable and no-marker motion capture system. This paper gives a new referable method to do emotion recognition, by using Microsoft Kinect to do gait p...

Prolonged sitting is an aggravating factor in low back and neck pain. Increased use of computers at workplaces could therefore cause health risks. This paper evaluates the application of the Microsoft Kinect in order to investigate the ergonomics at the place of employment. The Kinect is a cheap device and commercially available which enables the user to record 3D data of the human body. Within...

In the last years, economic multichannel sensors became very widespread. The most known of these devices is certainly the Microsoft Kinect, able to provide at the same time a color image and a depth map of the scene. However Kinect focuses specifically on human-computer interaction, so the SDK supplied with the sensors allows to achieve an efficient detection of foreground people but not of gen...

The high cost and required space of current gait analysis and instrumented walkway systems could explain their limited use in the clinical setting. We hypothesized that a Kinect v2-based system would overcome these limitations and enable reliable estimation of gait characteristics. To test this, we have evaluated the most widespread used spatiotemporal (stride time, length, and velocity) and ki...

This paper proposes a three-dimensional motion capture and feedback system of flying disc throwing action learners with use of Kinect device. Rather than conventional 3-D motion capture system, Kinect has advantages of cost merit, easy system development and operation. A novice learner of flying disc is trained to keep arm movement in steady height, to twist the waist, and to stretch the elbow ...

Detecting objects is of fundamental importance for the Eurobot Challenge 2011. This paper presents a Kinect-based approach to detect the game elements on the game field. Using the Kinect sensor provides the advantage that elements lying behind other elements can still be detected, which is nearly impossible for a laser-based approach. The Kinect provides depth information which is projected to ...

This project has as an objective of the extraction of humans in the foreground of image by creating a trimap which combines a depth map analysis and the Chromakey technique. The trimap is generated automatically, differing from the manual implementations which require user interaction. The extraction is based on extra information deriving from a structured lighting device (Kinect) integrated wi...