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THERAPIST: Towards an autonomous socially interactive robot for motor and neurorehabilitation therapies for children

机译:治疗师:迈向儿童电机和神经晕法疗法的自主社会交互机器人

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Exploiting the use-dependent plasticity of our neuromuscular system, neuro-rehabilitation therapies are devised to help patients that suffer from injuries or diseases in this system, such as those caused by brain damage before or during birth or in the first years of life (e.g. due to cerebral palsy or obstetric brachial plexus palsy). These therapies take advantage of the fact that the motor activity alters the properties of our neurons and muscles, including the pattern of their connectivity, and thus their functionality. Hence, a sensor-motor treatment where the patient makes certain movements, will help her to (re)learn how to move the affected body parts. But this traditional rehabilitation processes come at a cost: therapies are usually repetitive and lengthy, reducing motivation and adherence to the treatment and thus limiting the benefits for the patients. This paper describes the motivation, experiences and current efforts towards the final development of THERAPIST, a socially interactive robot for neuro-rehabilitation assistance. Our starting hypothesis was that patients could get consistently engaged in a therapeutic non-physical interaction with a robot, facilitating the design of new therapies that should improve the patient recovery time and reduce the overall socio-economic costs. This hypothesis was validated by our initial experimental studies, which showed that pediatric patients can be easily driven into highly attentive and collaborating attitudes by letting them interact with a robot. However, in order to be safe and robust, this robot was teleoperated, requiring a great effort on supervision from clinic professionals. The development of a real socially interactive robot will require the intersection of multiple challenging directions of research that we are currently exploring.
机译:利用我们神经肌肉系统的使用依赖性可塑性,设计神经康复疗法,以帮助患有该系统损伤或疾病的患者,例如由出生前或在生命前或第一年的脑损伤引起的那些(例如由于脑瘫或产科臂丛神经麻痹)。这些疗法利用了电机活动改变了我们神经元和肌肉的性质,包括它们的连接模式,从而改变它们的功能。因此,患者产生某些运动的传感器电机处理,将帮助她(重新)学习如何移动受影响的身体部位。但这种传统的康复过程以费用为:疗法通常是重复和冗长的,减少对治疗的动机和依从性,从而限制患者的益处。本文介绍了对治疗师最终发展的动机,经验和当前努力,这是神经康复援助的社会交互式机器人。我们的起始假设是,患者可以始终如一地与机器人进行治疗性的非身体互动,促进设计新疗法,这些疗法应该改善患者恢复时间,降低整体社会经济成本。我们的初步实验研究验证了该假设,这表明儿科患者可以容易地推进高度关注和合作态度,使它们与机器人相互作用。然而,为了安全且坚固,这个机器人漫不驾驾,需要努力监督诊所专业人士。真正的社会交互式机器人的发展将需要我们目前探索的多个具有挑战性的研究方向。

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