Evaluating Lower Limb Kinematics Using Microsoft's Kinect: A Simple, Novel Method

Yaron Haimovich, Oded Hershkovich, Sigal Portnoy, Isabella Schwartz, Raphael Lotan

Research output: Contribution to journalArticlepeer-review


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. Method: Participants were asked to walk while gait data were simultaneously recorded by both the MKS and the MBS. Software for analysing the Kinect data stream was developed using Microsoft Visual Studio and Kinect for Windows software development kits. Visual three-dimensional (3D) C-Motion software was used to calculate 3D joint angles of the MBS. 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. Results: The calculated RMSE average was <5° between the two systems, a level of difference that has practically no clinical significance. Conclusions: Quantitative measurements of the joint angles of the knee and hip can be acquired using one MKS with some accuracy. The system can be advantageous for clinical use, at the pre- and post-treatment stages of rehabilitation, at significantly lower costs. Further evaluation of the MKS should be performed with larger study populations.

Original languageEnglish
Pages (from-to)391-400
Number of pages10
JournalPhysiotherapy Canada. Physiotherapie Canada
Issue number4
StatePublished - 1 Nov 2021


Dive into the research topics of 'Evaluating Lower Limb Kinematics Using Microsoft's Kinect: A Simple, Novel Method'. Together they form a unique fingerprint.

Cite this