UAV-Accelerometer Data Analysis for Cricket Player Performance Prediction

Cricket, a game where the playing surface has a significant impact on player performance, calls for a thorough study of this relationship. The pitch's dynamics, particularly its texture, bounce, spin, and swing, have a big effect on how games turn out. Accelerometer sensors have become increasingly common in recent years for analyzing pitch conditions and forecasting player performance. These sensors record information on ball vibration and movement, giving crucial information on the condition of the pitch. This study intends to investigate the various methods used to predict player performance using pitch circumstances and accelerometer sensor data. The evaluation includes a full examination of their fundamental ideas, benefits, and drawbacks. It also explores the methods used to handle and analyze data from accelerometer sensors. The report also discusses the future research paths in this area and investigates the possible benefits of adding accelerometer sensors to improve player performance prediction. This study adds to the body of knowledge in the field of player performance prediction by examining the improvements in accelerometer technology and its implications for cricket.