Abstract
The paper describes an approach for using a humanoid robot as a motivator for patients that recover from stroke. Specific training tasks for arm ability training exist. They were implemented in such a way that the robot gives advices and provides motivational comments. The language DSL-CoTaL was used to specify the collaboration between patient and robot. It allows the visualization and animation of the models with different tools (CoTaSE, CTTE, HAMSTERS). A task pattern was identified for the exercises with a mirror. This pattern reduces extremely the necessary modelling support. It also helps to identify requirements for a domain-specific language for robots, that will allow to generate the necessary code. The language is planned to be an extension of CoTaL.
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Acknowledgments
This joint research project “E-BRAiN - Evidenz-based Robot Assistance in Neurorehabilitation” is supported by the European Social Fund (ESF), reference: ESF/14-BM-A55-0001/19-A01, and the Ministry of Education, Science and Culture of Mecklenburg-Vorpommern, Germany. This work was further supported by the BDH Bundesverband Rehabilitation e.V. (charity for neuro-disabilities) by a non-restricted personal grant to TP. The sponsors had no role in the decision to publish or any content of the publication.
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Forbrig, P., Bundea, AN. (2020). Modelling the Collaboration of a Patient and an Assisting Humanoid Robot During Training Tasks. In: Kurosu, M. (eds) Human-Computer Interaction. Multimodal and Natural Interaction. HCII 2020. Lecture Notes in Computer Science(), vol 12182. Springer, Cham. https://doi.org/10.1007/978-3-030-49062-1_40
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