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The introduction of robotic and mechatronic devices in motor rehabilitation after stroke offers new possibilities to support the re-learning of motor skills. One of these new fields in rehabilitation research is the visual augmentation of movement-related parameters. So far, the effects of augmented feedback on the learning outcome are only vaguely assessed and more clinical studies are needed. This paper describes the first step of a user-centered approach to develop visually augmented feedback applications for the use in clinical studies.

Development of an Augmented Feedback Application to Support Motor Learning after Stroke: Requirement Analysis