Enabling Heterogeneous Domain Adaptation in Multi-inhabitants Smart Home Activity Learning. (arXiv:2210.09499v1 [cs.AI])

Domain adaptation for sensor-based activity learning is of utmost importance
in remote health monitoring research. However, many domain adaptation
algorithms suffer with failure to operate adaptation in presence of target
domain heterogeneity (which is always present in reality) and presence of
multiple inhabitants dramatically hinders their generalizability producing
unsatisfactory results for semi-supervised and unseen activity learning tasks.
We propose \emph{AEDA}, a novel deep auto-encoder-based model to enable
semi-supervised domain adaptation in the existence of target domain
heterogeneity and how to …

arxiv domain adaptation enabling home smart smart home