The proposed technology is a system to recognize accidental falls reliably. The procedure is based on accelerometer data, to which characteristic indexes of motor activities are applied. Low power consumption and simplicity enable its implementation in non-invasive wearable devices of daily use.
Research Institution:
Università di Pisa
