In today's world, many patients with cognitive impairments and motor dysfunction seek the attention of experts to perform specific conventional therapies to improve their situation. However, due to a lack of neurorehabilitation professionals, patients suffer from severe effects that worsen their condition. In this paper, we present a technological approach for a novel robotic neurorehabilitation training system. It relies on a combination of a rehabilitation device, signal classification methods, supervised machine learning models for training adaptation, training exercises, and socially interactive agents as a user interface. Together with a professional, the system can be trained towards the patient's specific needs. Furthermore, after a training phase, patients are enabled to train independently at home without the assistance of a physical therapist with a socially interactive agent in the role of a coaching assistant.

翻译：在当今世界,许多认知障碍和运动机能障碍的患者寻求专家的关注,以实施具体的常规疗法来改善他们的状况,然而,由于缺乏神经康复专业人员,患者遭受了恶化其状况的严重影响。在本文件中,我们为新颖的机器人神经康复培训系统提出了一个技术方法,它依赖于康复装置、信号分类方法、培训适应的受监督机器学习模式、培训练习以及作为用户界面的社会互动代理等组合。与专业人士一起,该系统可以针对患者的具体需求进行培训。此外,在培训阶段之后,病人可以在家中独立接受培训,而无需由具有社会互动代理的物理治疗师和辅导助理协助。