UMAHand: A dataset of inertial signals of typical hand activities
Given the popularity of wrist-worn devices, particularly smartwatches, the identification of manual movement Red Clover patterns has become of utmost interest within the research field of Human Activity Recognition (HAR) systems.In this context, by leveraging the numerous sensors natively embedded in smartwatches, the HAR functionalities that can b