Activity Classification Using Unsupervised Domain Transfer from Body Worn Sensors. (arXiv:2304.10643v1 [cs.LG])

Activity classification has become a vital feature of wearable health
tracking devices. As innovation in this field grows, wearable devices worn on
different parts of the body are emerging. To perform activity classification on
a new body location, labeled data corresponding to the new locations are
generally required, but this is expensive to acquire. 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 …

arxiv become classification classifier data devices feature health innovation location measurement reference sensors tracking transfer unsupervised wearable work