FITsense: Fall Prediction in Technology-Enabled ‘Fit Homes’
Funding BodyThe Data Lab
Start DateSeptember 2017
End DateNovember 2018
Smart Home sensors are often used for home automation and security. In contrast, this system monitors the activities and behaviours of a person within their home using in-home sensors. It identifies patterns of activity, and changes in these patterns, that are linked to increased risk of falling. This system will allow timely interventions before falls occur and enable people to live independently and well in their own homes for longer.
Data is captured by a range of sensors installed in specially-designed, technology-enabled ‘Fit Houses’. Targeting specific activities identified as pre-cursors to falls, the system analyses data derived from these sensors to identify patterns of activity, and changes in these patterns, that are linked to increased risk of falling. These evidence-based alerts should enable families and agencies to intervene with preventative measures before incidents occur.
The system is being trialled at the 1st phase of the ‘FIT Houses’ project comprising 15 assisted living homes designed by Carbon Dynamic at Albyn’s Dalmore ‘FIT Houses’ village in Alness, near Inverness.
Massie, Forbes, Craw, Fraser & Hamilton (2018). Monitoring Health in Smart Homes using Simple Sensors. 3rd International Workshop on Knowledge Discovery in Healthcare Data at IJCAI-ECAI-18, Stockholm, Sweden.
Massie, Forbes, Craw, Fraser & Hamilton (2018). FITsense: Employing Multi-Modal Sensors in Smart Homes to Predict Falls. 26th International Conference on Case-Based Reasoning (ICCBR-18), Stockholm, Sweden. Springer.
- Holyrood Connect 2018 Digital Health & Care Award
- TDL FITsense Case Study
- FITsense Data Warrior Video (2.5 mins)
- HIE DataFest - FIT for Heathy Living Video (2 mins)
- HIE DataFest - FITsense Video (26 mins)
- The Future is FIT Video (2.5 mins)
- Digital Health Age - Fit Homes Project for Falls Prediction Received Funding