The PHYTMO database contains data from physical therapy exercises and gait variations recorded with magneto-inertial sensors, including information from an optical reference system. PHYTMO includes the recording of 30 volunteers, aged between 20 and 70 years old. A total amount of 6 exercises and 3 gait variations commonly prescribed in physical therapies were recorded. The volunteers performed two series with a minimum of 8 repetitions in each one. Four magneto-inertial sensors were placed on the lower-or upper-limbs for the recording of the motions together with passive optical reflectors. The files include the specifications of the inertial sensors and the cameras. The database includes magneto-inertial data (linear acceleration, turn rate and magnetic field), together with a highly accurate location and orientation in the 3D space provided by the optical system (errors are lower than 1mm). The database files were stored in CSV format to ensure usability with common data processing software. The main aim of this dataset is the availability of inertial data for two main purposes: the analysis of different techniques for the identification and evaluation of exercises monitored with inertial wearable sensors and the validation of inertial sensor-based algorithms for human motion monitoring that obtains segments orientation in the 3D space. Furthermore, the database stores enough data to train and evaluate Machine Learning-based algorithms. The age range of the participants can be useful for establishing age-based metrics for the exercises evaluation or the study of differences in motions between different aged groups. Finally, the MATLAB function features_extraction, developed by the authors, is also given. This function splits signals using a sliding window, returning its segments, and extract signal features, in the time and frequency domains, based on prior studies of the literature. ; V0 consists of the magneto-inertial data with the reference from the optical system and the features_extraction function. V0.1 includes the data of V0 and the datasheet of the magneto-inertial sensors and the cameras.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    A database of physical therapy exercises with variability of execution collected by wearable sensors



    Erscheinungsdatum :

    2022-03-01



    Medientyp :

    Forschungsdaten


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




    A database of physical therapy exercises with variability of execution collected by wearable sensors

    Sara García-de-Villa / Ana Jiménez-Martín / Juan Jesús García-Domínguez | BASE | 2021

    Freier Zugriff

    3D Pose Based Feedback for Physical Exercises

    Zhao, Ziyi / Kiciroglu, Sena / Vinzant, Hugues et al. | British Library Conference Proceedings | 2023


    Intelligent Tire with Smart Wearable Sensors

    Europäisches Patentamt | 2018

    Freier Zugriff

    Intelligent Tire with Smart Wearable Sensors

    KIM HYOUNG SEOK | Europäisches Patentamt | 2017

    Freier Zugriff

    Exercises

    Gupta, Kajal K. / Meek, John L. | AIAA | 2003