University of Geneva (UNIGE),  the Project Consortium Member, is responsible (among others) for elaborating, performing and implementation of Many-Me Angel: an application improving safety and orientation of dementia patients in threat or stressful situation.  Some new information on the progress in app’s preparing process appeared, so let us to give the floor to UNIGE Experts ready to explain what they currently work on:

Following the AAL Mid Term Review recommendations, UNIGE has completely rethink the Many-Me Angel module. Keeping in mind the main goal: to turn the previous prototype application into a ready to market solution as soon as possible.

To achieve this goal, a cross platform solution was among the important step to achieve. Our software engineer, Michaël Reolon, has developed 3 totally new applications for the 3 actors (patient, relative, caregiver) using the Ionic framework. Thus the main development work is already cross platform, since the new applications are based on web apps instead of Android native code used in the prototype. Obviously, the abnormal monitoring algorithms are kept in native code since they need to get access to different sensors of the person with dementia’s device.

Backend infrastructure has also evolved, from the previous basic Parse server, our physicist Jonathan Bertolaccini has redeveloped the whole logic and flows using Spring Boot framework. The database structure is ready for Machine Learning algorithms to be plugged in order to learn habits of the PwD thanks to relatives and formal caregivers answers to triggered alerts.”

Many-Me Angel application is a part of general projects solution potentially useful for patients in middle stage of dementia: their family members and caregivers would use smartphones to “remote control” a patient in a difficult situation back to safety. The app is also planned to give the constant and significant feedback on patient’s current state to doctors and medical staff. Professional caregivers, receiving information from informal carers, will be able to closely monitor treatment plans and timely address any emerging issues, including provide critical support through the application in a life threatening situation.