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  • An interactive tool for conditioning inertial sensor data for sports applications

    Author(s)
    Jithu, Paul
    Espinosa, Hugo
    James, Daniel
    Griffith University Author(s)
    James, Daniel A.
    Espinosa, Hugo G.
    Jithu, Paul J.
    Year published
    2016
    Metadata
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    Abstract
    Measurements with inertial sensors have been used in many sports applications through the last decades. The data extracted from the sensors are used by coaches, players and sports scientists to monitor athletes' performance; this often requires graphical user interfaces for viewing and processing of data. An interactive user interface is presented in this paper for the basic analysis of sensor data (accelerometer). The tool allows for the analysis and understanding of basic data processing including different types of filtering and threshold-based activity classifiers. To demonstrate the effectiveness of the tool, an application ...
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    Measurements with inertial sensors have been used in many sports applications through the last decades. The data extracted from the sensors are used by coaches, players and sports scientists to monitor athletes' performance; this often requires graphical user interfaces for viewing and processing of data. An interactive user interface is presented in this paper for the basic analysis of sensor data (accelerometer). The tool allows for the analysis and understanding of basic data processing including different types of filtering and threshold-based activity classifiers. To demonstrate the effectiveness of the tool, an application for human gait analysis is presented. Copyright of Journal of Fitness Research is the property of Australian Institute of Fitness and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.
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    Journal Title
    Journal of Fitness Research
    Volume
    5
    Publisher URI
    https://fitness.edu.au/
    Subject
    Human Movement and Sports Science not elsewhere classified
    Electrical and Electronic Engineering not elsewhere classified
    Human Movement and Sports Sciences
    Publication URI
    http://hdl.handle.net/10072/100781
    Collection
    • Journal articles

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