Cross-user activity recognition via temporal relation optimal transport

arXiv:2403.15423v1 Announce Type: cross
Abstract: Current research on human activity recognition (HAR) mainly assumes that training and testing data are drawn from the same distribution to achieve a generalised model, which means all the data are considered to be independent and identically distributed $\displaystyle (i.i.d.) $. In many real-world applications, this assumption does not hold, and collected training and target testing datasets have non-uniform distribution, such as in the case of cross-user HAR. Domain adaptation is a promising approach for …

abstract applications arxiv cs.ai cs.cv cs.hc cs.lg current data distributed distribution eess.sp human independent recognition research temporal testing training transport type via world