Front crawl swimming analysis using accelerometers: A preliminary comparison between pool and flume

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Front crawl swimming analysis using accelerometers : A preliminary comparison between pool and flume. / Espinosa, Hugo G; Nordsborg, Nikolai Baastrup; Thiel, David V.

I: Procedia Engineering, Bind 112, 2015, s. 497-501.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Espinosa, HG, Nordsborg, NB & Thiel, DV 2015, 'Front crawl swimming analysis using accelerometers: A preliminary comparison between pool and flume', Procedia Engineering, bind 112, s. 497-501. https://doi.org/10.1016/j.proeng.2015.07.231

APA

Espinosa, H. G., Nordsborg, N. B., & Thiel, D. V. (2015). Front crawl swimming analysis using accelerometers: A preliminary comparison between pool and flume. Procedia Engineering, 112, 497-501. https://doi.org/10.1016/j.proeng.2015.07.231

Vancouver

Espinosa HG, Nordsborg NB, Thiel DV. Front crawl swimming analysis using accelerometers: A preliminary comparison between pool and flume. Procedia Engineering. 2015;112:497-501. https://doi.org/10.1016/j.proeng.2015.07.231

Author

Espinosa, Hugo G ; Nordsborg, Nikolai Baastrup ; Thiel, David V. / Front crawl swimming analysis using accelerometers : A preliminary comparison between pool and flume. I: Procedia Engineering. 2015 ; Bind 112. s. 497-501.

Bibtex

@article{7c39bf1b08034436805ad89ddbaf4fce,
title = "Front crawl swimming analysis using accelerometers: A preliminary comparison between pool and flume",
abstract = "Biomechanical characteristics such as stroke rate and stroke length can be used to determine the velocity of a swimmer and can be analysed in both a swimming pool and a flume. The aim of the present preliminary study was to investigate the differences between the acceleration data collected from a swimming pool with that collected from a flume, as a function of the swimmer's stroke rate and stroke count, with the objective of identifying the impact on the swimmer's performance. The differences were determined by the analysis of the stroke's features, comparing several strokes normalized to one stroke count from an elite swimmer. Triaxial accelerometer logging using a sensor located in an arm band positioned immediately in the wrist was used to record the swimmer's stroke. There is statistical evidence that show that there are small differences between the pool and flume on medio-lateral wrist movements (0.64 ≤ r ≤ 0.75). The correlation coefficients are (0.75 ≤ r ≤ 0.83) and (0.82 ≤ r ≤ 0.89) for the other two axes.",
keywords = "Accelerometer, Correlation, Flume, Stroke length, Stroke rate, Swimming, pool",
author = "Espinosa, {Hugo G} and Nordsborg, {Nikolai Baastrup} and Thiel, {David V}",
note = "CURIS 2015 NEXS 460; null ; Conference date: 23-09-2015 Through 25-09-2015",
year = "2015",
doi = "10.1016/j.proeng.2015.07.231",
language = "English",
volume = "112",
pages = "497--501",
journal = "Procedia Engineering",
issn = "1877-7058",
publisher = "Elsevier",
url = "http://astn.com.au/7th-asia-pacific-congress-on-sports-technology/",

}

RIS

TY - JOUR

T1 - Front crawl swimming analysis using accelerometers

AU - Espinosa, Hugo G

AU - Nordsborg, Nikolai Baastrup

AU - Thiel, David V

N1 - Conference code: 7

PY - 2015

Y1 - 2015

N2 - Biomechanical characteristics such as stroke rate and stroke length can be used to determine the velocity of a swimmer and can be analysed in both a swimming pool and a flume. The aim of the present preliminary study was to investigate the differences between the acceleration data collected from a swimming pool with that collected from a flume, as a function of the swimmer's stroke rate and stroke count, with the objective of identifying the impact on the swimmer's performance. The differences were determined by the analysis of the stroke's features, comparing several strokes normalized to one stroke count from an elite swimmer. Triaxial accelerometer logging using a sensor located in an arm band positioned immediately in the wrist was used to record the swimmer's stroke. There is statistical evidence that show that there are small differences between the pool and flume on medio-lateral wrist movements (0.64 ≤ r ≤ 0.75). The correlation coefficients are (0.75 ≤ r ≤ 0.83) and (0.82 ≤ r ≤ 0.89) for the other two axes.

AB - Biomechanical characteristics such as stroke rate and stroke length can be used to determine the velocity of a swimmer and can be analysed in both a swimming pool and a flume. The aim of the present preliminary study was to investigate the differences between the acceleration data collected from a swimming pool with that collected from a flume, as a function of the swimmer's stroke rate and stroke count, with the objective of identifying the impact on the swimmer's performance. The differences were determined by the analysis of the stroke's features, comparing several strokes normalized to one stroke count from an elite swimmer. Triaxial accelerometer logging using a sensor located in an arm band positioned immediately in the wrist was used to record the swimmer's stroke. There is statistical evidence that show that there are small differences between the pool and flume on medio-lateral wrist movements (0.64 ≤ r ≤ 0.75). The correlation coefficients are (0.75 ≤ r ≤ 0.83) and (0.82 ≤ r ≤ 0.89) for the other two axes.

KW - Accelerometer

KW - Correlation

KW - Flume

KW - Stroke length

KW - Stroke rate

KW - Swimming, pool

UR - http://www.scopus.com/inward/record.url?scp=84945545010&partnerID=8YFLogxK

U2 - 10.1016/j.proeng.2015.07.231

DO - 10.1016/j.proeng.2015.07.231

M3 - Journal article

AN - SCOPUS:84945545010

VL - 112

SP - 497

EP - 501

JO - Procedia Engineering

JF - Procedia Engineering

SN - 1877-7058

Y2 - 23 September 2015 through 25 September 2015

ER -

ID: 185241007