BIG DATA ANALYTICS FOR SMART SPORTS USING APACHE SPARK
Issues in Information Systems · 2021
On most collegiate sports teams' injuries are plaguing rosters.The issue with the injuries on a football team is the amount of them that come from training overloads and lack of recovery from their training sessions.Coaches are not being able to take their team to their full potential and athletes are not being able to perform at their full potential as well.We are getting direct real-time data from wearable technology called Whoop.It collects the strain that the athlete goes through, their Heart Rate Variability (HRV), Respiration efficiency, and so many more things that could help improve the health of the athletes.Therefore, this paper will present the research proposal that the use of Big Data Analysis will be able to incorporate predictive analysis methods.With this proposal system in place coaches, athletes, and athletic trainers will be able to help prevent injuries and improve the overall performance of the team.By retrieving the real-time data from the Whoop band, we will be able to make real-time decisions and create correlations between the collected data and the performance of the athletes.The purpose of this proposed research is to create a system that will be beneficial to all types of sports teams, athletes, and university athletics budgets with big data analysis.