Smartphone-based solutions for fall detection and prevention: the FARSEEING approach.

Area of Science:

• Gerontology
• Biomedical Engineering
• Digital Health

Background:

• Falls are a significant risk for older adults, but not an inevitable part of aging.
• Advancements in smartphone technology offer new possibilities for health monitoring and intervention.
• The FARSEEING project explores population-based interventions using smartphones to mitigate fall risks.

Purpose of the Study:

• To present the development and results of smartphone applications for fall risk assessment and monitoring.
• To leverage smartphone inertial sensors for unobtrusive home-based health tracking.
• To introduce tools for real-time fall detection and self-administered mobility assessments.

Main Methods:

• Development of the uFall Android application for continuous motor activity monitoring and real-time fall detection.
• Creation of the uTUG application to instrument the Timed Up and Go test, functioning as a portable motion laboratory.
• Utilizing smartphone inertial sensors with users wearing the device via a waist belt.

Main Results:

• uFall enables non-interactive, real-time fall detection during daily activities at home.
• uTUG provides self-administrable Timed Up and Go testing with immediate data processing and results display.
• Both applications demonstrate the potential of smartphones as tools for managing fall risk in a population setting.

Conclusions:

• Smartphone-based interventions are effective for monitoring motor activities and detecting falls in older adults.
• The uFall and uTUG applications offer accessible, home-based solutions for fall risk assessment and management.
• Integrating such technologies can empower individuals and healthcare providers in preventing falls and promoting healthy aging.