Academy & Industry Research Collaboration Center (AIRCC)

Volume 11, Number 17, October 2021

An Intelligent Data-Driven Analytics System to Assist Sports Player Training and Improvement using Internet-of-Things (IoT) and Big Data Analysis


Julius Wu1, Jerry Wang2, Jonathan Sahagun3 and Yu Sun4, 1USA, 2SMIC Private School, China, 3California State University, USA, 4California State Polytechnic University, USA


Our product is a very unique tracking tool that not only tracks the movement of players on a map, but also the velocity of each player. We have an application that coaches usually hold onto during a game or a practice. It shows coachesan accurate data sample of where each player is and what they are doing on the field whether it be grinding or fooling around. It also helps coaches see accurate gameplay during a game if the recording is not available. When coaches select elite players, they also get a presentation of each players’ skills and how accurate they are when running different routes.


IoT, Machine learning, Data Mining.