AdaptNet: Human Activity Recognition via Bilateral Domain Adaptation Using Semi-Supervised Deep Translation Networks

This study demonstrates robust human activity recognition from a single triaxial accelerometer via bilateral domain adaptation using semi-supervised deep translation networks. Datasets were obtained from previously published studies: University of Michigan (Domain 1) and Georgia Institute of Technology (Domain 2) where triaxial accelerometry was obtained on subjects during defined conditions with ...