frAAgiLe: Technological Platform for monitoring and monimizaing frailty
Projects
aging
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, computer
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, design
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FrAAgiLe is a platform intends to analyze the status of the elderly person, both physically and mentally, in terms of fragility, and then assign individualized physical and mental exercises to avoid the risk of possible falls, using an accessible and affordable solution that combines videos for exercises and serious games to both train and detect physical or cognitive fragility. Deep Learning techniques will be applied in order to help the frAAgiLe system learn about the fragility history of each individual end-user and customize the training plan according to his/her evolution. The system will also focus on being as cheap and less intrusive as possible, using only tablets and wearables. frAAgiLe project will be developed through a user-centered approach, with an active involvement of end-users in different phases of the project, along its entire duration; end-users coming from 3 different European countries, and thus bringing a heterogeneous background from cultural and economic perspectives, will contribute to the co-creation of the platform.
Overview:
The platform intends to analyze the status of the elderly person, both physically and mentally, in terms of fragility, and then assign individualized physical and mental exercises to avoid the risk of possible falls, using an accessible and affordable solution that combines videos for exercises and serious games to both train and detect physical or cognitive fragility.Deep Learning techniques will be applied in order to help the frAAgiLe system learn about the fragility history of each individual end-user and customize the training plan according to his/her evolution.
Objectives:
What frAAgiLe planned to do: analyse the status of the person, physically and mentally, in terms of frailty, and offer physical and mental exercises to avoid the risk of possible falls using an accessible and affordable solution that combines videos for exercises and serious games to both train and detect physical or cognitive frailty. In this project, we involved 3 different end-users organizations to co-create the platform with them.The system also focuses on being as cheap and less intrusive as possible, using only tablets and wearables.
Initiatives:
Prevention and detection of falls, combining video and serious games for physical and mental strengthening.
Shortcomings:
Lack of prediction for falls. Mixing the terms of mental and physical frailty.
Relevance Description:
Combination of WP1 and WP3.
Opinion:
It would be great if its goals are achieved.
Sources:
http://www.aal-europe.eu/projects/fraagile/
Keywords:
Active and Healthy Ageing, case study, monitoring and minimizing frailty, tablets, wearables, deep learning, serious games, user-centered approach, well being, machine learning, fall prevention
Submitted By:
Begonya Garcia-Zapirain (Univ. Deusto, Spain)