DocumentCode
496192
Title
A wireless system for gait and posture analysis based on pressure insoles and Inertial Measurement Units
Author
Benocci, Marco ; Rocchi, Laura ; Farella, Elisabetta ; Chiari, Lorenzo ; Benini, Luca
Author_Institution
DEIS, Univ. of Bologna, Bologna, Italy
fYear
2009
fDate
1-3 April 2009
Firstpage
1
Lastpage
6
Abstract
In this paper we describe a wireless wearable system to monitor gait, based on a customized pair of commercial insoles able to collect ground reaction forces by use of 24 embedded cells for each foot. Each insole was combined with a small form factor, low-power Inertial Measurement Unit (IMU) and enabled to communicate via Bluetooth with a base station. We present here the characterization of the system both in terms of performance and in terms of functionality. The system was tested on a subject to demonstrate the usability and the features extraction during gait; this data allow to recognize walking phase in terms of swing and stance phase, step and stride duration, double support and single support duration, both using the pressure sensors and the IMU.
Keywords
Bluetooth; biomedical measurement; feature extraction; gait analysis; kinematics; medical signal processing; pressure measurement; pressure sensors; wireless sensor networks; Bluetooth; double support duration; feature extraction; gait analysis; low-power Inertial Measurement Unit; posture analysis; pressure insoles; pressure sensors; single support duration; stance phase; step duration; stride duration; swing phase; walking phase recognition; wireless system; Base stations; Biomedical monitoring; Bluetooth; Feature extraction; Foot; Legged locomotion; Measurement units; Sensor phenomena and characterization; System testing; Usability; gait analysis; inertial tracking; pressure; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing Technologies for Healthcare, 2009. PervasiveHealth 2009. 3rd International Conference on
Conference_Location
London
Print_ISBN
978-963-9799-42-4
Electronic_ISBN
978-963-9799-30-1
Type
conf
DOI
10.4108/ICST.PERVASIVEHEALTH2009.6032
Filename
5191186
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