Activity Classification Using Unsupervised Domain Transfer from Body Worn Sensors

no code implementations • 20 Apr 2023 • Chaitra Hedge, Gezheng Wen, Layne C. Price

In this work, we present an innovative method to leverage an existing activity classifier, trained on Inertial Measurement Unit (IMU) data from a reference body location (the source domain), in order to perform activity classification on a new body location (the target domain) in an unsupervised way, i. e. without the need for classification labels at the new location.

Classification