Human Activity Recognition in a Free-Living Environment Using an Ear-Worn Motion Sensor
Lukas Boborzi,
Julian Decker,
Razieh Rezaei
et al.
Abstract:Human activity recognition (HAR) technology enables continuous behavior monitoring, which is particularly valuable in healthcare. This study investigates the viability of using an ear-worn motion sensor for classifying daily activities, including lying, sitting/standing, walking, ascending stairs, descending stairs, and running. Fifty healthy participants (between 20 and 47 years old) engaged in these activities while under monitoring. Various machine learning algorithms, ranging from interpretable shallow mod… Show more
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