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Project

Validation of markerless body tracking for real world gait analysis.

Markerless motion tracking became very popular and common since the introduction of the Microsoft Kinect in 2010 in both the gaming community and industry. To use markerless motion tracking in the field of medical rehabilitation, a higher accuracy and reliability is needed. To achieve this goal, we will combine a 2-D skeleton detection algorithm with the data from multiple 3-D cameras. The developed procedure will be validated with the marker-based Vicon system of the MĀ²OCEAN lab and calibrated 3D body scans of subjects in static position. Afterwards, the technique will be implemented on a treadmill to evaluate the gait of a person. To simulate real world gait information, subjects will wear virtual reality glasses. This virtual environment stimulates the brain and influences the gait of a person, which results in extra information compared to stand alone treadmill walking.
Date:1 Jul 2018 →  31 Dec 2019
Keywords:GAIT ANALYSIS, CAMERA, SKELETON TRACKING
Disciplines:Astronomy and space sciences, Condensed matter physics and nanophysics, Multimedia processing, Biological system engineering, Signal processing, Biomechanics