Automated Precision Tuning in Activity Classification Systems
Nicola Fossati, Daniele Cattaneo, Michele Chiari, Stefano Cherubin, Giovanni Agosta · 2020
The greater availability and reduction in production cost make wearable IoT platforms perfect candidates to continuously monitor people at risk, like elderly people. In particular these platforms, along with the use of artifical intelligence algorithms, can be exploited to detect and monitor people's activities, in particular potentially harmful situations, such as falling. However, wearable devices have limited computational power and battery life.