SMART SOCKS SYSTEM AS AN EQUIPMENT TO ANALYZE TEMPORAL PARAMETERS OF HUMAN GAIT AND RUNNING

Authors

  • Aleksandrs Oks Riga Technical University, Institute of Textile and Technology (LV)
  • Aleksey Katashev Riga Technical University, Institute of Biomedical Engineering and Nanotechnology (LV)
  • Edgars Bernans Latvian Academy of Sport Education, Laboratory of Physical Capacity (LV)
  • Valters Abolins Latvian Academy of Sport Education, Laboratory of Physical Capacity (LV)

DOI:

https://doi.org/10.17770/etr2017vol3.2622

Keywords:

smart socks, running, walking, biomechanics

Abstract

The aim of present study was to demonstrate usability of the recently developed “Smart Socks” System for analysis of locomotion temporal parameters. Smart socks system exploits pressure sensors which can be knitted directly in the garment, thus providing minimal discomfort for user. Two types of locomotion were analysed: walking and running. Experienced athletes took part in the experiment to perform movements in the controlled conditions in laboratory. The research demonstrated that temporal accuracy of Smart Sock system is acceptable for practical purposes. Data, provided by the system could distinguish heel strike and non-heel strike run and walk modes. More data is required for deeper analysis and interpretation of obtained temporal parameters and for development of recommendations for athletes and coaches.
Supporting Agencies
The work was supported by the European Regional Development Fund project “Synthesis of textile surface coating modified in nano-level and energetically independent measurement system integration in smart clothing with functions of medical monitoring”

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Published

2017-06-15

Issue

Vol. 3 (2017): Environment. Technology. Resources. Proceedings of the 11th International Scientific and Practical Conference. Volume 3

Section

Engineering Sciences and Production Technologies

How to Cite

[1]
A. Oks, A. Katashev, E. Bernans, and V. Abolins, “SMART SOCKS SYSTEM AS AN EQUIPMENT TO ANALYZE TEMPORAL PARAMETERS OF HUMAN GAIT AND RUNNING”, ETR, vol. 3, pp. 238–241, Jun. 2017, doi: 10.17770/etr2017vol3.2622.