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 proceedingConference contributionpeer-review

1 Citation (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 languageEnglish
Title of host publicationProceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023
PublisherIEEE Computer Society
Pages314-318
Number of pages5
ISBN (Electronic)9798350358766
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event28th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2023 - Singapore, Singapore
Duration: 24 Oct 202327 Oct 2023

Publication series

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

Conference

Conference28th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2023
Country/TerritorySingapore
CitySingapore
Period24/10/2327/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Athletic performance
  • Athletic tracking
  • Dashboard
  • R Shiny
  • Sleep monitoring

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