PROTOTYPE - SMART SYSTEM TO DETECT DEPRESSION IN ELDERLY

Daan Beverdam, Daniel Formolo, Gossa Lô, Matteo Pullano

Goal: System installed in homes of lonely elderly that identifies initial stages of depression and make interventions to reduce the risks of depression development.

DEPRESSION MECHANISMS

We are experiencing an important demographic change around the world, with the increase of elderly people in our society[1]. In the United States, the elderly population has grown 10-fold within the last century. According to projections by the US Census Bureau, about 1 in 5 Americans would be considered elder by the year 2030...

THE SYSTEM

The Generic Model was improved for a more detailed model based on modern psychological theories like described in Hussain’s work[1]. Besides models, some works propose systems to support depressed people[2]. In another work, Both[3] et al. present a agent system model to make interventions for different types of therapy...

SOURCE CODE

​Very preliminary version that emulate the system in action.

  • Arduino implementation of the system into the home.

  • Python implementation of Telegram.

 
  • LinkedIn

DANIEL FORMOLO

Room T3.18 - Sciences Building
De Boelelaan 1081a - ZIP code 1081HV
Amsterdam, The Netherlands