International Journal of Pattern Recognition and Artificial Intelligence
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 classification of motion recognition techniques to highlight the different 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 lower-level computer vision tasks such as segmentation, object detection and human pose estimation.
Lun, Roanna and Zhao, Wenbing, "A Survey of Applications and Human Motion Recognition with Microsoft Kinect" (2015). Electrical Engineering & Computer Science Faculty Publications. 408.
Electronic version of an article published as [International Journal of Pattern Recognition and Artificial Intelligence, 29, 5, 2015, 1-48] [10.1142/S0218001415550083] © [2015 World Scientific Publishing Company] [http://www.worldscientific.com/doi/abs/10.1142/S0218001415550083]