Microsoft Kinect, a low-cost motion-sensing device, enables users to interact with computers or game consoles naturally through gestures and spoken commands. As such, it has commanded intense interests in research and development on the Kinect technology. This tutorial will provide a comprehensive review on Kinect applications and the latest research and development on human motion tracking and recognition that power these applications. 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.
Wenbing Zhao is currently an Associate Professor and Director of the Master of Science of Electrical Engineering Program at the Department of Electrical and Computer Engineering, Cleveland State University. He earned his Ph.D. at University of California, Santa Barbara, under the supervision of Drs. Moser and Melliar-Smith, in 2002. Dr. Zhao has an active state-sponsored research grant on using Kinect to enhance safe patient handling in nursing homes, and has taught a course on Kinect application development at Cleveland State University in spring 2014. Dr. Zhao has over 100 peer-reviewed publications. Dr. Zhao is a senior member of IEEE, a program evaluator for ABET, and chair for the CIST 2015 workshop (as part of UIC 2015).