Ontwerp en implementatie van een revalidatie platform gebruik makende van de leap motion sensor

Abstract

This thesis describes the making of a medical platform, which will be used by the research group of the university of Hasselt named REVAL. This platform comes in the form of a website, where accessibility is the most prevalent benefit. Through this website, patients won't have to come to REVAL and researchers do not have to visit the patient to gather data. With this platform, a large datapool can be assembled to gather data of regular people to later use as a comparison for patients. Several experiments are implemented on the platform and more can be implemented later. Two pursuit tasks, one with an accelerating target and another with a disappearing target, and a bimanual motor tracking task (BMTT) are already developed and can be customized by researchers to fit in their research. The former involves following a target, which moves in a circular trajectory, with the cursor and the latter uses two stepper motors and Mechaduinos as controllers. The goal of the BMTT is to replicate a linear movement in a random direction by twisting the stepper motors. To further digitalize the work of a physiotherapist, the leap motion sensor was tested for its viability as sensor for medical research. The leap motion is a sensor designed to track hands and fingers which makes it ideal for a finger pinching detector. After testing, it turned out that the leap motion was not accurate enough to be reliable as a medical sensor.