You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: Computer Vision Based Fall Detection Methods Using the Kinect Camera : A Survey 
Chapter Title:  Tracked Joints 
1. Abstract of Cited Paper (BIB001):  RGB-D data has turned out to be a very useful representation of an indoor scene for solving fundamental computer vision problems. It takes the advantages of the color image that provides appearance information of an object and also the depth image that is immune to the variations in color, illumination, rotation angle and scale. With the invention of the low-cost Microsoft Kinect sensor, which was initially used for gaming and later became a popular device for computer vision, high quality RGB-D data can be acquired easily. In recent years, more and more RGB-D image/video datasets dedicated to various applications have become available, which are of great importance to benchmark the state-of-the-art. In this paper, we systematically survey popular RGB-D datasets for different applications including object recognition, scene classification, hand gesture recognition, 3D-simultaneous localization and mapping, and pose estimation. We provide the insights into the characteristics of each important dataset, and compare the popularity and the difficulty of those datasets. Overall, the main goal of this survey is to give a comprehensive description about the available RGB-D datasets and thus to guide researchers in the selection of suitable datasets for evaluating their algorithms.

Literature Review:
The supported joints are the following: The supported joints are the following: The Kinect official SDK 2.0 is recommended to track the users' skeletons for several reasons: 1. Kinect official SDK is more advantageous than other libraries when requiring skeleton tracking BIB002 . It provides full body tracking include head, hands, feet, clavicles. It detects 25 joints per people BIB001 which give more flexibility and options when you develop FD approach.