Affordable gait analysis using augmented reality markers скачать в хорошем качестве

Affordable gait analysis using augmented reality markers

Open Access science paper on the validation of the system is available here: https://journals.plos.org/plosone/art... ********************************************************************************* Gait analysis is the instrumented systematic study of human motion for measuring body mechanics that is used to assess and treat individuals with impaired walking capabilities. A typical gait laboratory has several cameras placed around a walkway. The patient has markers located at anatomical landmarks or rigid groups of markers applied to the body segments. Trajectory of the markers and the motion of the underlying bone are calculated to yield the movement of each joint. These camera systems cost tens of thousands of dollars and require a large space. Our proposed method uses augmented reality markers to track body segments with a single action camera. Method: First, the optical distortions have to be compensated through camera calibration. Apriltag algorithm detects the markers. Homography transformation is applied to calculate the marker orientation. Position of anatomical points are then calculated through homogeneous coordinate transformations. Anatomical points are calibrated using a pointer with a similar marker. An OptiTrack motion capture system is used to validate measurement results. Our solution can track highly accurately the joint movements in each dimension. Simulated gait deviations by an elevated foot can be also well detected with our solution. ************************************************* Review paper on validity of Kinect sensor for gait assessment: http://www.mdpi.com/1424-8220/16/2/194 Apriltag library that is used for the marker detection: https://april.eecs.umich.edu/software... OpenCV library that is used for the image processing: http://opencv.org/ OpenSim motion analysis software is used to calculate body kinematics: http://opensim.stanford.edu/ Contact: nagymate@mogi.bme.hu