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Tobias Schubert

Data Glove Project

Direct after a stroke many patients have motor disabilities. These disabilities constrain their normal live for a long time after the stroke. So a fast regain of the former abilities is a desirable issue. In order to evaluate medical treatments an objective measure is needed. In this project we use a group of stroke patients, which have an unilateral disability of one hand. These stroke patients have to execute motor tests, like the nine hole peg test, while wearing data gloves from CyberGlove. Then we compare the differences in movement strategies, trajectories and acceleration of the healthy hand to the unhealthy hand. Thereby we use a Gaussian process dynamical model.

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