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The need for data-driven bike fitting : data study of subjective expert fitting

Jarich Braeckevelt, Jelle De Bock (UGent) , Joke Schuermans (UGent) , Steven Verstockt (UGent) , Erik Witvrouw (UGent) and Jeroen Dierckx
(2019) ICSPORTS: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON SPORT SCIENCES RESEARCH AND TECHNOLOGY SUPPORT. p.181-189
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Abstract
The number of cyclists is growing rapidly, for commuting but also as a sport. With this growth, there has been an increasing interest in cycling position. Trainers, athletes and bike vendors acknowledged this and started to perform bike fits. As these experts have different backgrounds and varying levels of expertise, it was hypothesised that this could have an influence on the outcome in terms of the advised position. In this research three cyclists were bike fitted by nine different bike fitting studios. It was hypothesised that, as different bike fitters use varying techniques and have different experience levels, the cyclist would be advised a different optimal position by these different bike fitters. The preconceived hypothesis was confirmed as the range of advised positions in both saddle height and setback was up to 3 cm. Data-driven bike fitting can help bring down these considerable differences amongst fitters and will be discussed in the last chapter.
Keywords
Bike Fitting, Data-analysis, Subjectivity Study, Statistics

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Citation

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MLA
Braeckevelt, Jarich, et al. “The Need for Data-Driven Bike Fitting : Data Study of Subjective Expert Fitting.” ICSPORTS: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON SPORT SCIENCES RESEARCH AND TECHNOLOGY SUPPORT, edited by João Vilas-Boas et al., Scitepress, 2019, pp. 181–89, doi:10.5220/0008344701810189.
APA
Braeckevelt, J., De Bock, J., Schuermans, J., Verstockt, S., Witvrouw, E., & Dierckx, J. (2019). The need for data-driven bike fitting : data study of subjective expert fitting. In J. Vilas-Boas, P. Pezarat-Correia, & J. Cabri (Eds.), ICSPORTS: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON SPORT SCIENCES RESEARCH AND TECHNOLOGY SUPPORT (pp. 181–189). https://doi.org/10.5220/0008344701810189
Chicago author-date
Braeckevelt, Jarich, Jelle De Bock, Joke Schuermans, Steven Verstockt, Erik Witvrouw, and Jeroen Dierckx. 2019. “The Need for Data-Driven Bike Fitting : Data Study of Subjective Expert Fitting.” In ICSPORTS: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON SPORT SCIENCES RESEARCH AND TECHNOLOGY SUPPORT, edited by João Vilas-Boas, Pedro Pezarat-Correia, and Jan Cabri, 181–89. Scitepress. https://doi.org/10.5220/0008344701810189.
Chicago author-date (all authors)
Braeckevelt, Jarich, Jelle De Bock, Joke Schuermans, Steven Verstockt, Erik Witvrouw, and Jeroen Dierckx. 2019. “The Need for Data-Driven Bike Fitting : Data Study of Subjective Expert Fitting.” In ICSPORTS: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON SPORT SCIENCES RESEARCH AND TECHNOLOGY SUPPORT, ed by. João Vilas-Boas, Pedro Pezarat-Correia, and Jan Cabri, 181–189. Scitepress. doi:10.5220/0008344701810189.
Vancouver
1.
Braeckevelt J, De Bock J, Schuermans J, Verstockt S, Witvrouw E, Dierckx J. The need for data-driven bike fitting : data study of subjective expert fitting. In: Vilas-Boas J, Pezarat-Correia P, Cabri J, editors. ICSPORTS: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON SPORT SCIENCES RESEARCH AND TECHNOLOGY SUPPORT. Scitepress; 2019. p. 181–9.
IEEE
[1]
J. Braeckevelt, J. De Bock, J. Schuermans, S. Verstockt, E. Witvrouw, and J. Dierckx, “The need for data-driven bike fitting : data study of subjective expert fitting,” in ICSPORTS: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON SPORT SCIENCES RESEARCH AND TECHNOLOGY SUPPORT, Vienna, Austria, 2019, pp. 181–189.
@inproceedings{8629098,
  abstract     = {{The number of cyclists is growing rapidly, for commuting but also as a sport. With this growth, there has been an increasing interest in cycling position. Trainers, athletes and bike vendors acknowledged this and started to perform bike fits. As these experts have different backgrounds and varying levels of expertise, it was hypothesised that this could have an influence on the outcome in terms of the advised position. In this research three cyclists were bike fitted by nine different bike fitting studios. It was hypothesised that, as different bike fitters use varying techniques and have different experience levels, the cyclist would be advised a different optimal position by these different bike fitters. The preconceived hypothesis was confirmed as the range of advised positions in both saddle height and setback was up to 3 cm. Data-driven bike fitting can help bring down these considerable differences amongst fitters and will be discussed in the last chapter.}},
  author       = {{Braeckevelt, Jarich and De Bock, Jelle and Schuermans, Joke and Verstockt, Steven and Witvrouw, Erik and Dierckx, Jeroen}},
  booktitle    = {{ICSPORTS: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON SPORT SCIENCES RESEARCH AND TECHNOLOGY SUPPORT}},
  editor       = {{Vilas-Boas, João and Pezarat-Correia, Pedro and Cabri, Jan}},
  isbn         = {{9789897583834}},
  keywords     = {{Bike Fitting,Data-analysis,Subjectivity Study,Statistics}},
  language     = {{eng}},
  location     = {{Vienna, Austria}},
  pages        = {{181--189}},
  publisher    = {{Scitepress}},
  title        = {{The need for data-driven bike fitting : data study of subjective expert fitting}},
  url          = {{http://doi.org/10.5220/0008344701810189}},
  year         = {{2019}},
}
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