ABT: Mobile Solution for Computer Assisted Boxing Training Using smartphones to measure and track boxers' performance while training

Gonzalo Cirilo, Franco Rivera, David Mauricio

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Computer Assisted Training (CAT) focused on sports is one of the fastest growing trends in technology, along with Cloud Computing and the appearance of various IoT devices. There are several mobile apps that attempt CAT by using ad-hoc sensors for acceleration and angular momentum recording. These are mostly paired via Bluetooth to a smartphone nearby. Boxing is one of the sports that is mostly lagging in terms of data collection and the continuous improvement loop. This paper proposes a cloud-based application to promote the use of technology for training in box named ABT, where hard data is difficult to obtain. To measure the boxer's movement, several sensors embedded in a mobile smartphone running Google Android was used. Then, the data was sent to a cloud service to perform calculations and determine different measurements of the action performed by the boxer. This data was also sent in real time via Bluetooth Low Energy to a paired tablet. ABT aims to help amateur and professional box fighters by having insights in each training session such as their average force, acceleration, and speed, therefore having a frame of reference to evaluate their progress against and by consequence helping the training of diverse boxing techniques to be more efficient. The application was reviewed and tested by a professional boxer and a group of 10 amateur fighters obtaining positive results for usability and utility for boxing.

Original languageEnglish
Title of host publication2021 10th International Conference on Software and Information Engineering, ICSIE 2021
PublisherAssociation for Computing Machinery
Pages28-34
Number of pages7
ISBN (Electronic)9781450384315
DOIs
StatePublished - 12 Nov 2021
Event10th International Conference on Software and Information Engineering, ICSIE 2021 - Virtual, Online, Egypt
Duration: 12 Nov 202114 Nov 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference10th International Conference on Software and Information Engineering, ICSIE 2021
Country/TerritoryEgypt
CityVirtual, Online
Period12/11/2114/11/21

Bibliographical note

Funding Information:
The authors would like to thank the Peruvian University of Applied Sciences (UPC) for the partial funding for this research.

Publisher Copyright:
© 2021 ACM.

Keywords

  • IoT
  • box
  • computer assisted training
  • mobile applications
  • sports

Fingerprint

Dive into the research topics of 'ABT: Mobile Solution for Computer Assisted Boxing Training Using smartphones to measure and track boxers' performance while training'. Together they form a unique fingerprint.

Cite this