![]() ![]() Further evaluation of the MKS should be performed with larger study populations. The system can be advantageous for clinical use, at the pre- and post-treatment stages of rehabilitation, at significantly lower costs. Conclusions: Quantitative measurements of the joint angles of the knee and hip can be acquired using one MKS with some accuracy. ![]() Results: The calculated RMSE average was <5° between the two systems, a level of difference that has practically no clinical significance. Deviation of the joint angles calculated by the two systems was calculated using root-mean-square error (RMSE) on the basis of a designated formula. Visual three-dimensional (3D) C-Motion software was used to calculate 3D joint angles of the MBS. ![]() Software for analysing the Kinect data stream was developed using Microsoft Visual Studio and Kinect for Windows software development kits. Method: Participants were asked to walk while gait data were simultaneously recorded by both the MKS and the MBS. Purpose: Our aim was to evaluate the Microsoft Kinect sensor (MKS) as a markerless system for motion capture and analysis of lower limb motion, compare it with a state-of-the-art marker-based system (MBS), and investigate its accuracy in simultaneously capturing several lower limb joint movements on several planes while participants walked freely.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |