frAAgiLe: Technological Platform for monitoring and monimizaing frailty
Category: Projects
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.
Read MoreCategory: Best practices
Posibilty of linking different sensors to a site, collecting data online and visualizing them, accessing them anytime through mobile app, etc.
Read MoreCategory: Other
The one-stop place to find resources, components and people to conceive, develop, test and market new accessibility solutions
Read MoreCategory: Standards
Standard set of KPIs or Patient Reported Outcomes (PRO) to assess the impact of technology solutions on older adult in diffent aspects.
Read MoreCategory: User Experience
Assistive technologies including assistive robots (AT/AR) appear to be a promising response to the increasing prevalence of older adults in need of care. An increasing number of long-term care facilities (LTCFs) try to implement AT/AR in order to create a stimulating environment for aging well and to reduce workload for professional care staff. The implementation of new technologies in an organization may lead to noticeable cultural changes in terms of social interactions and care practices associated with positive or negative emotions for the employees. This applies especially for LTCFs with high rates of vulnerable residents affected by increasing care needs and specific ethics in nursing and cultural rules within the setting. Thus, systematic consideration in leadership management of emotions and ethical aspects is essential for stakeholders involved in the implementation process. In this article, we explicitly focus on the emotions of the employees and leaders within LTCFs. We relate to direct consequences for the organizational well-being and culture, which is of course (indirectly) affecting patients and residents. While aspects of technology acceptance such as safety and usefulness are frequently discussed in academic literature, the topic of emotion-management and ethical questions during the organizational implementation process in LTCFs received little attention. Emotional culture entails affective values, ethical norms and perceptions of employees and further investigation is needed to address the importance of transformational leadership during implementation process. For this purpose, we developed a three-staged assessment tool for implementation of AT/AR in long-term care institutions. Acceptance (A), ethical acceptability (A) and emotional consequences (E) are considered as comprehensive assessment, in which emotional consequences comprise management aspects of transformational leadership (T), emotion-management (E) and organizational culture (O). Based on AAE and TEO, this paper presents an integrated framework illustrated with a illustrative example and aims to combine established approaches with ethical insights in order to unfold potentials of AT/AR in LTCSs.
Read MoreIntelligent lighting system for comfortable living of the older people
Category: Projects
This research deals with the IoT-system development, that based on lighting and thermal comfortable parameters for improving the comfortable living of the older people. Also the second task of the IoT-system is avoiding and predicting instant decreasing of health level for older people based on data photoplethysmogram.IoT system uses the fuzzy knowledge base on the edge level for decreasing the computational complicity. For knowledge base development on cloud level the deep learning, clustering and fuzzy logic methods were used.
Read MoreJournal of Enabling Technologies
Category: User Experience
Reports on innovations around how technologies are used and evaluated in practice, and the impact that they have on the people using them
Read MoreLearning modules Hands-on SHAFE BUILT
Category: User Experience
To learn to build inclusive environments we developed 7 online modules, including (among others) age-friendly house, dementia-friendly house, mobility outdoors.
Read MoreLearning modules Hands-on SHAFE SMART
Category: User Experience
To learn to use wearable devices and smartphones, how to support indipendent living
Read MoreCategory: User Experience
The mHealthINX solution will provide an entirely new user experience in coping with the sensitive but very important and urgent topic of Mental Health in occupational settings. The solution targets the support of older employees (50 ) and the prevention of stress-related diseases such as depression, anxiety, and cardiovascular diseases.
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