The Microsoft KinectTM sensor is a gaming device, developed for a control-free gaming experience, using motion tracking. When this technology was released, other fields of application got interested in this technology. Therefore, a lot of papers have been published, in which the capabilities of the KinectTM sensor were studied. Based on these results, the Microsoft KinectTM was used for medical applications. One of them was rehabilitation, where the sensor was used for gesture detection and for checking the performed exercises. This thesis describes the issue, whether the Microsoft KinectTM sensor can be used for a more detailed human motion analysis, such as calculating the flexion of the elbow. Therefore, the functions and commands provide from the KinectTM sensor are inspected and investigated, in order to create a program, which delivers the desired or calculated parameters. In addition, obstacles and limitations, deriving during the development of the program are explained. By performing different measurements, namely gait analysis and hand motion & grasping tasks (focusing on hand motion & grasping), the accuracy and reliability of the obtained data can be shown. As comparison, the data of an electrogoniometer are given, to determine the limitations and restrictions of the Microsoft KinectTM sensor, compared to a state of the art method for human motion analysis.