Mobility problems consequential to knee injuries are common in people as they age, and are particularly prevalent amongst former athletes. In this paper, we describe a pilot study, including preliminary results, using a multi-modal approach employing video, audio, force monitoring and muscle activity sensors, to investigate the health of knee joints in a non-invasive manner. It is hoped that such experiments could lead to a low-cost, routine method for the early detection of impaired functioning of the knee joints, and possible osteoarthritis.
['Ivan Vatolik', 'Gordon Hunter', 'Michael Everington', 'Andy T. Augousti']
A Multi-modal Sensor Network to Detect and Monitor Conditions Consequential to Knee Injuries