Open access
2026
CNN-FIFO-LSTM: An Energy-Efficient Hybrid Architecture for Real-Time Fall Detection on Edge Devices
Fall detection for wearable health monitoring must combine subject-independent accuracy, low false-alarm risk, real-time response, and multi-day battery operation. Deep learning can capture fall dynamics, but recurrent or long-window models often increase memory access, inference latency, and energy use on microcontrol...
Duan Luong Cong, Cuong Chu Van, Anh Pham Hoang et al.
· IEEE Access · 0 citations