Novel Clinical Applications of Marker-less Motion Capture as a Low-cost Human Motion Analysis Method in the Detection and Treatment of Knee Osteoarthritis

Marker-less motion capture is a rapidly advancing field that can takesimple RGB image sequences, or more advanced Red Green Blue Depth(RGB-D) image sequences obtained using depth sensors, and outputs anestimated human pose. This method of human pose estimation allows forthe extraction of biomechanical features which can then be analysed byclinicians to give more insights into a patient’s movement capabilities.When compared to other, more clinically proven technologies such as theKnee Kinesiography (KneeKG), biomechanics presented have the advantageof being more representative of natural movement without the obstructivemarkers placed on the body. This Significant difference of up to 10 degreesin a range of motion for the knee could be the key to better identifying aperson’s gait or tracking their natural walking pattern over time, while alsobeing more robust and better suited to a smaller clinical environment.