Tens of solutions for automatic detection of falls among elderly are being developed worldwide. But do they really have an effect? This is what we are trying to find out in our trial in Trondheim, Norway. It turns out we are one of very few in the world doing this.
We are working on a systematic literature study. We want to know what international research can tell us about using ICT to cope with falls among eldery. We need you to help us answer the right questions. What do you want to know about this topic?
Our EU project FARSEEING went through an external review by the European commission expert evaluator group earlier this week.
On Monday January 13, 2014, we could read a report in the front page of Adresseavisen (Trondheim’s main local newspaper) about fall injuries among elderly: Almost half of all the elderly who are involved in fall accidents in hospitals die within one year after the accident. To fall and get injured is a heavy strain […]
Our IT2901 Group 8 students have developed a platform for measuring the risk of falls among elderly based on level and quality of physical activity. The developed platform is intended to be developed into a standard fall risk management platform.
NTNU students in collaboration with SINTEF ICT health informatics group use social media to detect and manage falls among elderly people. The solution allows family and neighbors to participate in fall detection and help dispatching.