3d International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

A wireless system for gait and posture analysis based on pressure insoles and Inertial Measurement Units

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2009.6032,
        author={Marco Benocci and Laura Rocchi and Elisabetta Farella and Lorenzo Chiari and Luca Benini},
        title={A wireless system for gait and posture analysis based on pressure insoles and Inertial Measurement Units},
        proceedings={3d International ICST Conference on Pervasive Computing Technologies for Healthcare},
        proceedings_a={PERVASIVEHEALTH},
        year={2009},
        month={8},
        keywords={gait analysis; wireless sensor networks; pressure; inertial tracking.},
        doi={10.4108/ICST.PERVASIVEHEALTH2009.6032}
    }
    
  • Marco Benocci
    Laura Rocchi
    Elisabetta Farella
    Lorenzo Chiari
    Luca Benini
    Year: 2009
    A wireless system for gait and posture analysis based on pressure insoles and Inertial Measurement Units
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6032
Marco Benocci1,*, Laura Rocchi1,*, Elisabetta Farella1,*, Lorenzo Chiari1,*, Luca Benini1,*
  • 1: DEIS, University of Bologna, Bologna, Italy
*Contact email: marco.benocci@unibo.it, l.rocchi@unibo.it, elisabetta.farella@unibo.it, lorenzo.chiari@unibo.it, luca.benini@unibo.it

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.