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  • An integrated swimming monitoring system for the biomechanical analysis of swimming strokes

    Author(s)
    James, DA
    Leadbetter, RI
    Neeli, MR
    Burkett, BJ
    Thiel, DV
    Lee, JB
    Griffith University Author(s)
    Thiel, David V.
    James, Daniel A.
    Neeli, Madhu
    Leadbetter, Raymond I.
    Lee, James B.
    Year published
    2011
    Metadata
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    Abstract
    This paper describes the development of a complete wearable swimming system for performance analysis, together with a sample application. The system comprises wearable nodes, data processing tools in MATLAB頡nd integration with video. The swimming nodes are small in size and designed to be worn on body segments of interest, typically lower leg, lower arm, and the sacral or cervical regions. Each node contains inertial sensors, screen, data storage and RF communications for synchronisation and data download. The device is controlled using a microcontroller with a scheduler-based operating system to conserve power and is ...
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    This paper describes the development of a complete wearable swimming system for performance analysis, together with a sample application. The system comprises wearable nodes, data processing tools in MATLAB頡nd integration with video. The swimming nodes are small in size and designed to be worn on body segments of interest, typically lower leg, lower arm, and the sacral or cervical regions. Each node contains inertial sensors, screen, data storage and RF communications for synchronisation and data download. The device is controlled using a microcontroller with a scheduler-based operating system to conserve power and is custom-packaged with a user interface and USB port that is fully waterproof. The cost of manufacture is a few hundred dollars in small-run quantities. The developed analysis software builds upon previously developed tools, can communicate with the nodes individually and can synchronise the recording of multiple units through a custom-developed protocol. Video is integrated into the developed tools as a method of presenting the sensor data alongside a more traditional analysis tool. A case study of the system analyses swim stroke phase with video and demonstrates the utility of the system as a tool for temporal stroke phase identification in the high-performance environment
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    Journal Title
    Sports Technology
    Volume
    4
    Issue
    3-4
    Publisher URI
    http://www.tandfonline.com/doi/abs/10.1080/19346182.2012.725410?journalCode=rtec20#preview
    Subject
    Signal Processing
    Human Movement and Sports Science not elsewhere classified
    Electrical and Electronic Engineering
    Mechanical Engineering
    Human Movement and Sports Sciences
    Publication URI
    http://hdl.handle.net/10072/48732
    Collection
    • Journal articles

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