The paper presents a preliminary study on the feasibility of a pre-impact fall detector, able to evaluate the risk of fall real-time, allowing the fast adoption of properly strategies of intervention for reducing injuries (e.g. By activating an impact reduction system). A wearable, wireless and minimally invasive surface Electromyography-based system (EMG) has been used to measure four lower-limb muscles activities. This work deals with the identification of highly discriminative features extracted within the EMG signals for the automatic detection of people instability. The framework prototype uses a threshold-based approach assuring real-time functioning and allowing the detection of a typical imbalance condition about 200ms after the stimulus perturbation, in simulated and controlled fall conditions.
An EMG-based system for pre-impact fall detection
Leone Alessandro;Rescio Gabriele;Caroppo Andrea;Siciliano Pietro
2015
Abstract
The paper presents a preliminary study on the feasibility of a pre-impact fall detector, able to evaluate the risk of fall real-time, allowing the fast adoption of properly strategies of intervention for reducing injuries (e.g. By activating an impact reduction system). A wearable, wireless and minimally invasive surface Electromyography-based system (EMG) has been used to measure four lower-limb muscles activities. This work deals with the identification of highly discriminative features extracted within the EMG signals for the automatic detection of people instability. The framework prototype uses a threshold-based approach assuring real-time functioning and allowing the detection of a typical imbalance condition about 200ms after the stimulus perturbation, in simulated and controlled fall conditions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.