A Data-Driven Model to Identify Fatigue Level Based on the Motion Data from a Smartphone
S. Karvekar, M. Abdollahi, E. Rashedi
This paper develops machine learning models to classify fatigue levels using smartphone motion data, achieving 91% accuracy for binary classification and 61% for four-level classification.
bioRxiv · Oct 8, 2019 · PreprintBioengineering