Lincoln School of Computer Science, University of Lincoln, Brayford Pool, Lincoln, LN6 7TS, UK
Research Article
Novel Clinical Applications of Marker-less Motion Capture as a Low-cost Human
Motion Analysis Method in the Detection and Treatment of Knee Osteoarthritis
Author(s): Kai Armstrong*, Yan Wen, Lei Zhang, Xujiong Ye and Paul Lee
Marker-less motion capture is a rapidly advancing field that can take simple RGB image sequences, or more advanced Red Green Blue Depth (RGB-D) image sequences obtained using depth sensors, and outputs an estimated human pose. This method of human pose estimation allows for the extraction of biomechanical features which can then be analysed by clinicians to give more insights into a patient’s movement capabilities. When compared to other, more clinically proven technologies such as the Knee Kinesiography (KneeKG), biomechanics presented have the advantage of being more representative of natural movement without the obstructive markers placed on the body. This Significant difference of up to 10 degrees in a range of motion for the knee could be the key to better identifying a person’s gait or tracking their natural walking pattern over time, while also being more robust and.. View More»
DOI:
10.4172/2167-7921.2022.11.053
