Edinburgh Napier University

  Various rehabilitation and diagnostic methods related to musculoskeletal injuries or diseases however, can be challenging to monitor and record over long time periods. Furthermore, patients in remote locations, which represent a substantial proportion, face additional time and cost limitations. Current gait analysis methods, although they provide a very detailed record of the patient's walking cycle, are few and located in major city based facilities. Telemedicine based systems are increasingly in demand as they offer cost benefits and wider accessibility. Our proposed system offers a novel, cost efficient motion capture method which could be deployed in remote location and record patient's gait which in turn can be presented to the specialist medical staff remotely through an analytical Virtual Reality environment for review.