A Dynamic Online Dashboard for Tracking the Performance of Division 1 Basketball Athletic Performance

Erica Juliano; Chelsea Thakkar; Christopher Taber; Mehul Raval; Tolga Kaya; Samah Senbel

doi:10.1109/PRDC59308.2023.00050

A Dynamic Online Dashboard for Tracking the Performance of Division 1 Basketball Athletic Performance

Erica Juliano^*, Chelsea Thakkar, Christopher Taber, Mehul Raval, Tolga Kaya, Samah Senbel

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Using Data Analytics is a vital part of sport performance enhancement. We collect data from the Division 1 'Women's basketball athletes and coaches at our university, for use in analysis and prediction. Several data sources are used daily and weekly: WHOOP straps, weekly surveys, polar straps, jump analysis, and training session information. In this paper, we present an online dashboard to visually present the data to the athletes and coaches. R shiny was used to develop the platform, with the data stored on the cloud for instant updates of the dashboard as the data becomes available. The performance of athletes can be compared to the group averages, while coaches have access to all athletes and can compare them to each other and the team averages for all parameters. A simple color-coded design was utilized to convey the coaches which of the measured parameters is in an acceptable range and which is deficient. The dashboard was reviewed by the athletes, coaches, and exercise scientists and was useful for their needs.

Original language	English
Title of host publication	Proceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023
Publisher	IEEE Computer Society
Pages	314-318
Number of pages	5
ISBN (Electronic)	9798350358766
DOIs	https://doi.org/10.1109/PRDC59308.2023.00050
Publication status	Published - 2023
Externally published	Yes
Event	28th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2023 - Singapore, Singapore Duration: 24 Oct 2023 → 27 Oct 2023

Publication series

Name	Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC
ISSN (Print)	1541-0110

Conference

Conference	28th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2023
Country/Territory	Singapore
City	Singapore
Period	24/10/23 → 27/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Athletic performance
Athletic tracking
Dashboard
R Shiny
Sleep monitoring

Access to Document

10.1109/PRDC59308.2023.00050

Cite this

Juliano, E., Thakkar, C., Taber, C., Raval, M., Kaya, T., & Senbel, S. (2023). A Dynamic Online Dashboard for Tracking the Performance of Division 1 Basketball Athletic Performance. In Proceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023 (pp. 314-318). (Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC). IEEE Computer Society. https://doi.org/10.1109/PRDC59308.2023.00050

Juliano, Erica ; Thakkar, Chelsea ; Taber, Christopher et al. / A Dynamic Online Dashboard for Tracking the Performance of Division 1 Basketball Athletic Performance. Proceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023. IEEE Computer Society, 2023. pp. 314-318 (Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC).

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title = "A Dynamic Online Dashboard for Tracking the Performance of Division 1 Basketball Athletic Performance",

abstract = "Using Data Analytics is a vital part of sport performance enhancement. We collect data from the Division 1 'Women's basketball athletes and coaches at our university, for use in analysis and prediction. Several data sources are used daily and weekly: WHOOP straps, weekly surveys, polar straps, jump analysis, and training session information. In this paper, we present an online dashboard to visually present the data to the athletes and coaches. R shiny was used to develop the platform, with the data stored on the cloud for instant updates of the dashboard as the data becomes available. The performance of athletes can be compared to the group averages, while coaches have access to all athletes and can compare them to each other and the team averages for all parameters. A simple color-coded design was utilized to convey the coaches which of the measured parameters is in an acceptable range and which is deficient. The dashboard was reviewed by the athletes, coaches, and exercise scientists and was useful for their needs.",

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language = "English",

series = "Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC",

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Juliano, E, Thakkar, C, Taber, C, Raval, M, Kaya, T & Senbel, S 2023, A Dynamic Online Dashboard for Tracking the Performance of Division 1 Basketball Athletic Performance. in Proceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023. Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC, IEEE Computer Society, pp. 314-318, 28th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2023, Singapore, Singapore, 24/10/23. https://doi.org/10.1109/PRDC59308.2023.00050

A Dynamic Online Dashboard for Tracking the Performance of Division 1 Basketball Athletic Performance. / Juliano, Erica; Thakkar, Chelsea; Taber, Christopher et al.
Proceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023. IEEE Computer Society, 2023. p. 314-318 (Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Using Data Analytics is a vital part of sport performance enhancement. We collect data from the Division 1 'Women's basketball athletes and coaches at our university, for use in analysis and prediction. Several data sources are used daily and weekly: WHOOP straps, weekly surveys, polar straps, jump analysis, and training session information. In this paper, we present an online dashboard to visually present the data to the athletes and coaches. R shiny was used to develop the platform, with the data stored on the cloud for instant updates of the dashboard as the data becomes available. The performance of athletes can be compared to the group averages, while coaches have access to all athletes and can compare them to each other and the team averages for all parameters. A simple color-coded design was utilized to convey the coaches which of the measured parameters is in an acceptable range and which is deficient. The dashboard was reviewed by the athletes, coaches, and exercise scientists and was useful for their needs.

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Juliano E, Thakkar C, Taber C, Raval M, Kaya T, Senbel S. A Dynamic Online Dashboard for Tracking the Performance of Division 1 Basketball Athletic Performance. In Proceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023. IEEE Computer Society. 2023. p. 314-318. (Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC). doi: 10.1109/PRDC59308.2023.00050

A Dynamic Online Dashboard for Tracking the Performance of Division 1 Basketball Athletic Performance

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Keywords

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