Fall detection and activity recognition system for usage in smart work-wear
Mairo Leier, Gert Jervan, Ardo Allik, Kristjan Pilt, Deniss Karai, Ivo Fridolin · 2018
Human activity measurement and classification has been hot research topic for several years. Most of the solutions are based on the mobile phones, however there are also some wearable device implementations that have very specific functionality. The aim of this paper is to propose a human activity recognition and fall detection solution that provides extra safety for people working in challenging conditions. The system is integrated with the monitoring solution that provides real-time information about all workers and raises automatically an alarm in case of accidents or abnormal conditions.