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Monitoring and assistance for elderly people

Artificial intelligenceBig datacovid-19Internet of ThingsMachine learningMachine learningSituation Awareness

Introduction

Wearable devices and distributed sensors to track the person’s position over time, identify motor and / or postural activities and evaluate their variation over time to monitor the level of well-being of elderly people with cognitive and / or motor problems.

Technical features

Through wearable devices and distributed sensors, the system is able to – understand the level of well-being of the monitored person based on his habits and personalized parameters, – predict critical situations, – intervene promptly in case of danger, – communicate with the person to increase the understanding of what is happening, – accumulate significant data for off-line assistance, – understand the person’s gestures, movement and position, – learn calibrated changes in habits, – manage requests for help to the outside, – ensure customized adaptation.
It can also be operated by personnel not necessarily specialized, such as relatives, medical or paramedical personnel, personnel trained to deal with emergencies, firefighters, neighbors, and so on.

It is possible to trace the proximity of people to others in the residence (guests, health workers, staff, visitors, etc.), keeping the historical series of movements, to facilitate the mapping of all the contacts of a person who has become infected.

Possible Applications

  • Home assistance;
  • Museum applications;
  • Diagnostics, prognostics, control in domotics, with particular regard to energy and safety;
  • Support for emergencies and calamities (epidemics, earthquakes, floods, etc.).

Advantages

  • It provides services to the assisted persons through interaction based on voice interfaces;
  • Adapts to the evolution of their level of autonomy;
  • Can motivate and assist them to perform the activities on their own;
  • Intervenes proactively based on the current situation.