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IoT 16(8): e2

Research Article

Wearable device for swim assessment: a new ecologic approach for communication and analysis

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  • @ARTICLE{10.4108/eai.14-10-2015.2261818,
        author={Paolo Perego and Giuseppe Andreoni and Roberto Sironi and Stefano Lenzi and Giorgio Santambrogio},
        title={Wearable device for swim assessment: a new ecologic approach for communication and analysis},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={2},
        number={8},
        publisher={ACM},
        journal_a={IOT},
        year={2015},
        month={12},
        keywords={swim analysis, wearable device, smart garments},
        doi={10.4108/eai.14-10-2015.2261818}
    }
    
  • Paolo Perego
    Giuseppe Andreoni
    Roberto Sironi
    Stefano Lenzi
    Giorgio Santambrogio
    Year: 2015
    Wearable device for swim assessment: a new ecologic approach for communication and analysis
    IOT
    EAI
    DOI: 10.4108/eai.14-10-2015.2261818
Paolo Perego1,*, Giuseppe Andreoni1, Roberto Sironi1, Stefano Lenzi2, Giorgio Santambrogio2
  • 1: Politecnico di Milano - Design dept
  • 2: Politecnico di Milano - DEIB dept
*Contact email: paolo.perego@polimi.it

Abstract

This paper describes a wearable system for the assessment of swim performance focusing on the description of the system and especially on the novel method for data transmission in water, and the algorithm used for extracting some parameters for the qualitative assessment of the performance. We placed a 3-axes Inertial Measurement Unit (IMU) on the athlete’s back in a specific swimsuit, which also allows for recording 1-lead ECG. The system and the algorithm have been tested on 13 trials with 10 subjects comparing the results with data extracted from video recording. The system demonstrated able and reliable to measure time and kinematic parameters of swimming.

Keywords
swim analysis, wearable device, smart garments
Published
2015-12-22
Publisher
ACM
http://dx.doi.org/10.4108/eai.14-10-2015.2261818

Copyright © 2015 P. Perego et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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