Introduction Recently, there has been a growing interest in methods for monitoring individual motor performance during daily-life activities. To this end, inertial miniaturized units (IMU) turned out to be the most relevant technological solution. From direct measures of angular velocity and proper acceleration of sensed body segments, a broad set of spatio-temporal gait variables can be derived through signal morphology analysis, biomechanical models and machine learning techniques. However, the validity of IMU-based methods depends on several factors, including motor impairment severity, environmental context, IMU location. Accurate displacement estimations can be particularly critical. Full acceptance of IMU-based methods for «real world» mobility assessment in clinical programmes needs a rigorous validation and this, in turn, advocates for the development of suitable gold standards. This work deals with the design of a wearable multi-sensor system (INDIP) that, by integrating different sensing technologies, aims at providing the best possible reference for digital gait assessment in real world scenarios.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Multi-sensor integration and data fusion for enhancing gait assessment In and Out of the laboratory


    Beteiligte:
    Salis, F. (Autor:in) / Bertuletti, S. (Autor:in) / Caruso, M. (Autor:in) / Della Croce, U. (Autor:in) / Mazzà, C. (Autor:in) / Cereatti, A. (Autor:in)

    Erscheinungsdatum :

    2019-09-30


    Anmerkungen:

    Gait & Posture 74 34



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    629





    A Data Fusion Algorithm for Multi-Sensor Microburst Hazard Assessment

    Wanke, C. R. / John Hansman, R. / United States; Federal Aviation Administration et al. | British Library Conference Proceedings | 1994




    Multi-sensor data fusion: A tool to enable UAS integration into civil airspace

    Fasano, Giancarmine / Forlenza, Lidia / Tirri, Anna Elena et al. | IEEE | 2011