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RGB-D Video Monitoring System to Assess the Dementia Disease State Based on Recurrent Neural Networks with Parametric Bias Action Recognition and DAFS Index Evaluation

机译:RGB-D视频监测系统根据具有参数偏置作用识别和DAFS指标评估的经常性神经网络评估痴呆症疾病状态

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Within 2050, demographic changes, due to the significant increase of elderly, will represent one of the most important aspect for social assistance and healthcare institutions, particularly in European Union. Great attention is given to dementia diseases with over 35 million people worldwide who live in this condition, affected by cognitive impairment, frailty and social exclusion with considerable negative consequences for their independence. Preference will be given to intervention with high impact on the quality of life of the individual associated with a socio-economic burden, also for people who care for them. The main challenge comes from the social objective of assisting and keeping elderly people in their familiar home surrounding or to enable them to "aging in place".
机译:在2050年之内,人口变化,由于老年人大幅增加,将代表社会援助和医疗机构的最重要方面之一,特别是在欧盟。痴呆症患者患有超过3500万人的痴呆症,这些病症受到了这种情况,受到认知障碍,脆弱和社会排斥的影响,对其独立性相当负面影响。对于与社会经济负担相关的个人的生活质量,将偏好进行干预,也适用于关心他们的人。主要挑战来自社会目标,即协助和保持老年人在熟悉的家居周围或使他们能够“衰老”。

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