Multi-sensor data fusion is extensively used to merge data collected by heterogeneous sensors deployed in smart environments. However, data coming from sensors are often noisy and inaccurate, and thus probabilistic techniques, such as Dynamic Bayesian Networks, are often adopted to explicitly model the noise and uncertainty of data. This work proposes to improve the accuracy of probabilistic inference systems by including context information, and proves the suitability of such an approach in the application scenario of user activity recognition in a smart home environment. However, the selection of the most convenient set of context information to be considered is not a trivial task. To this end, we carried out an extensive experimental evaluation which shows that choosing the right combination of context information is fundamental to maximize the inference accuracy.
DE PAOLA, A., Ferraro, P., Gaglio, S., & LO RE, G. (2016). Context-awareness for multi-sensor data fusion in smart environments. In AI*IA 2016 Advances in Artificial Intelligence (pp.377-391). Springer Verlag.
Autori: | DE PAOLA, A.; Ferraro, P.; Gaglio, S.; LO RE, G. |
Titolo: | Context-awareness for multi-sensor data fusion in smart environments |
Settore Scientifico Disciplinare: | Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni |
Data di creazione: | 2016-11 |
Nome del convegno: | 15th International Conference on Italian Association for Artificial Intelligence, AIIA 2016 |
Luogo del convegno: | Genova; Italy |
Anno del convegno: | 2016 |
Data di pubblicazione: | 2016 |
Numero di pagine: | 15 |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-319-49130-1_28 |
URL: | https://link.springer.com/chapter/10.1007%2F978-3-319-49130-1_28 |
Citazione: | DE PAOLA, A., Ferraro, P., Gaglio, S., & LO RE, G. (2016). Context-awareness for multi-sensor data fusion in smart environments. In AI*IA 2016 Advances in Artificial Intelligence (pp.377-391). Springer Verlag. |
Tipologia: | 0 - Proceedings (TIPOLOGIA NON ATTIVA) |
Appare nelle tipologie: | 0 - Proceedings (TIPOLOGIA NON ATTIVA) |
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