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Type: 
Conference
Description: 
It is proposed a wearable sensing system based on Inertial Measurement Units (IMUs) for the long-time detection of specific human motion disorders. The system uses a single sensor positioned on the head, close to the ear. The system recognizes noticeable gait features as irregular steps and the gait block (freezing of gait). Respect to other positions on the body, the headset has the maximum sensitivity to the trunk oscillations which patients make to get out of the block, increasing dramatically the risk of falls. The headset has also the advantage that it is easy to wear and the whole system can be contained in a single package. In fact, an audio device for auditory feedback to the patient can be integrated without any wireless/wired connection to the ear. The classification of those motion features is performed by an artificial neural network (ANN) and starts from the raw signals collected by the IMU. The ANN algorithm …
Publisher: 
IEEE
Publication date: 
18 Jun 2015
Authors: 

P Lorenzi, R Rao, G Romano, A Kita, M Serpa, F Filesi, F Irrera, M Bologna, A Suppa, A Berardelli

Biblio References: 
Pages: 131-136
Origin: 
2015 6th International Workshop on Advances in Sensors and Interfaces (IWASI)