The worldwide population aged over 65 is rapidly growing. This ageing process impacts mobility, muscle strength, and balance control which contributes to the increase of occurrence of falls in this population. Currentsolutions to address falls only target some specific stages: assessing multiple several fall risk factors, detecting falls automatically, and providing strategies for fall prevention that focus on attenuating specific fall risk factors. However, most technological solutions do not allow to close this cycle by simultaneously addressing fall detection (FD), fall risk assessment (FRA), and fall prevention (FP).

FRADE is intended to be a solution with several components (wearable sensor, desktop application, Android application, and backend server with web interface) to perform FD, FRA, and FP.

The elder will use the wearable sensor to monitor falls and to provide a continuous estimation of fall risk, based on movement analysis. It sends an alarm to the backend server and an SMS to a caregiver whenever a fall is detected. The wearable device will also be used to monitor the elder’s movements and communicate with the desktop and Android application while he/she performs FRA and FP tests. All the monitored data is stored in the backend server and can be accessed by a caregiver through its web interface.