Open AccessUSING BODY SENSOR NETWORKS AND HUMAN ACTIVITY RECOGNITION CLASSIFIERS TO ENHANCE THE ASSESSMENT OF FORM AND EXECUTION QUALITY IN FUNCTIONAL TRAINING
Author(s) -
RAFAEL DE PINHO ANDRE
Publication year - 2020
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17771/pucrio.acad.50802
Subject(s) - training (meteorology) , computer science , quality (philosophy) , artificial intelligence , activity recognition , machine learning , human–computer interaction , geography , philosophy , epistemology , meteorology