Human Activity Recognition Models in Ontology Networks

@article{Buoncompagni2021HumanAR,
  title={Human Activity Recognition Models in Ontology Networks},
  author={Luca Buoncompagni and Syed Yusha Kareem and F. Mastrogiovanni},
  journal={IEEE transactions on cybernetics},
  year={2021},
  volume={PP}
}
We present Arianna⁺, a framework to design networks of ontologies for representing knowledge enabling smart homes to perform human activity recognition online. In the network, nodes are ontologies allowing for various data contextualisation, while edges are general-purpose computational procedures elaborating data. Arianna⁺ provides a flexible interface between the inputs and outputs of procedures and statements, which are atomic representations of ontological knowledge. Arianna⁺ schedules… Expand

Figures and Tables from this paper

References

SHOWING 1-10 OF 39 REFERENCES
Reasoning with smart objects’ affordance for personalized behavior monitoring in pervasive information systems
Probabilistic ontology based activity recognition in smart homes using Markov Logic Network
CRAFFT: an activity prediction model based on Bayesian networks
SVM-Based Multimodal Classification of Activities of Daily Living in Health Smart Homes: Sensors, Algorithms, and First Experimental Results
Tracking Activities in Complex Settings Using Smart Environment Technologies.
Pellet: A practical OWL-DL reasoner
The Description Logic Handbook: Theory, Implementation, and Applications
Smart homes and home health monitoring technologies for older adults: A systematic review
...
1
2
3
4
...