Open access
2026
Energy-Efficient TinyML-Based Fall Detection for Wearable Healthcare Devices
A TinyML wrist-worn prototype based on Arduino Nano 33 BLE Sense, which combines the MPU6050 IMU for motion-based fall detection and activity (walking, sitting, running, lying) recognition with the MAX30102 PPG for heartbeat, SpO2, and HRV anomaly detection over generations is unveiled.
P. Prathap, H. Hibafathima, Sufaira Shamsudeen et al.
· ITEGAM- Journal of Engineeri... · 0 citations