Abstract: Highlights•Relating multisensory data sources in sensor-rich environments for human activity recognition is beneficial but difficult.•Learning models need guidance in order to relate multisensory data sources more effectively.•Domain models like the dynamics of human activities help models focus on particular data sources.•Focusing on subsets of data sources improves models in terms of data-efficiency and recognition performance.•Combining domain models and intelligent data sampling brings robustness during activities transitions.
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