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

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”