Jssm2024

Our paper, “Prediction of Perceived Exertion Ratings in National Level Soccer Players Using Wearable Sensor Data and Machine Learning Techniques”, has been accepted in Journal of Sports Science and Medicine. We analyzed 5402 training sessions & 732 matches using 174 parameters (heart rate, GPS, accelerometer, etc.). We compared different techniques and deep learning achieved top perceived exertion ratings predictions, with max heart rate, acceleration & distance covered as key predictors.