A Survey of Applications and Human Motion Recognition with Microsoft Kinect

Abstract

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 peripheral equipment. As such, it has commanded intense interests in research and development on the Kinect technology. In this paper, we present, a comprehensive survey on Kinect applications, and the latest research and development on motion recognition using data captured by the Kinect sensor. On the applications front, we review the applications of the Kinect technology in a variety of areas, including healthcare, education and performing arts, robotics, sign language recognition, retail services, workplace safety training, as well as 3D reconstructions. On the technology front, we provide an overview of the main features of both versions of the Kinect sensor together with the depth sensing technologies used, and review literatures on human motion recognition techniques used in Kinect applications. We provide a classi¯cation of motion recognition techniques to highlight the di®erent approaches used in human motion recognition. Furthermore, we compile a list of publicly available Kinect datasets. These datasets are valuable resources for researchers to investigate better methods for human motion recognition and lowerlevel computer vision tasks such as segmentation, object detection and human pose estimation.

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“…2 and 3) the operation of the working model of fractal nonparametric detector of radar signals (FNDRS) was performed in [2003][2004][2005]. [1][2][3][4][5][6][7][8][9][10][11][12][17][18][19][20][21][22][23][24][25][26][27][28]. In 2005 in the US it was exhibited as part of ISTC project with CCB "Almaz" and IRE RAS and earned a very high opinion of experts [1,2].…”

“…As experiments [18][19][20] have shown, chemical d-elements can act as catalysts to increase the efficiency of formation of ortho-bosons in a Z/2 active medium. This is due to the fact that rotation frequency ω ℓ of magnetic fields B μ almost coincides, for the d-subshell, with the frequency ω S of transition between spin levels m S = 1/2 and m S = -1/2.…”