The aim of WP3 is to develop the FARSEEING architecture that makes it possible to collect, store and process the data related to mobility and falls. These systems will provide support for both the Population‐Based scenario and the High‐Risk scenario.
1. A smartphone application will be developed for the Population‐Based scenario, which aims to:
- capture and locally collect sensor data coming from sensing units embedded inside the smartphone. The data collection will be available both indoor and outdoor.
- interact with the home automation system to provide exercise and/or stimuli to the user;
- implement the real‐time fall‐detection algorithm developed in WP6.
2. A new custom Wearable Monitoring Unit device will be developed by customising the existing Senspod system for the High‐Risk scenario, which aims to:
- design and prototype a wireless wearable system for on‐body monitoring and storing of daily life activities by collecting data coming from its sensor units;
- enrich the data‐set with environmental information by adding new sensors;
- provide an implementation of a real‐time event detector (eg. fall detector).
3. A new Home Automation system oriented to fall prevention will be developed by customizing the existing MyHome system in accordance with the inputs from WP7:
- new devices/peripherals will be added to the existing MyHome system to satisfy all the exercises and stimuli needed;
- new devices management techniques will be developed in order to properly drive each device in accordance with the exercise/stimuli constraints;
- a number of pilot systems (at least 4) will be installed in the house of a small sample of older subjects to test the suitability of the exercise/stimuli designed.
4. Finally, the FARSEEING database will be designed and developed to store the data coming from the two scenarios. The database will comply with the standard data format developed in WP6.
Lead Partner: University of Bologna
