iFall - Case studies in unexpected falls
Ralf Salomon, Marian Lüder, Gerald Bieber · 2010
Previous research has developed a new embedded system, called iFall, for the detection of unexpected falls for elderly people. This paper reports a larger set of fall experiments that have been done in laboratory setups, similar to typical real-world experiments. These experiments indicate that with monitoring its own rotation along any axis, iFall is able to detect a fall in its very beginning. iFall is thus able to protect its user from severe injuries and its consequences, by initiating some emergency actions, such as inflating a tiny airbag.