Call number MU Thesis Alv

Abstract This work aims to find more promising sources of data from various aspects in improving tennis players’ performance and injury prediction. The diverse sources of data in this work are collected from nine collegiate tennis players, including physiological metrics, training and match data, sleep data from wearable devices, self-reported information via daily questionnaires, jump assessments conducted by experts, and videos of match play. Accordingly, this work proposes a multimodal...