Real-Time Fall Detection for Embedded System Using Deep Learning
Chih-Chieh Yang, Chieh-En Lee, Tzu-Yuan Huang, Chung-Hao Tien · 2022
In this study, we developed an embedded visual system which can real-time detect the falls by depth video in multiple views. Based on MoViNets, we successfully achieved 99.21% accuracy under 380 testing events.