Abstract
Digital twins are virtual representation of physical entities. They allow the physical condition of the entity to be monitored without many of the constrains the real entities have. Research on Activities of Daily Living (ADLs) has faced many challenges due to the complexity and cost associated. Many of these could have been addressed using digital twins. Following the digital twin approach and motivated by the difficulties regarding the research on ADLs, this article proposes a meta-model for building a behaviour model of an agent living in a sensorized house inside a simulator. The paper also addresses the implementation of the simulator itself. The model follows a needs-driven approach that uses needs as the main motivation for the agent to perform its actions. The simulator also supports uncertainty within sensor data to generate more realistic datasets. The tool has many possible applications both in the design of smart environments and in ADLs research areas.
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Funding
This work was funded by the MINISTERIO DE CIENCIA, INNOVACIÓN Y UNIVERSIDADES, grant number RTI2018-098780-B-I00 (national research project), which funds the PRE2019-089614 predoctoral contract; the PREJCCM2019/14 predoctoral contract by JUNTA DE COMUNIDADES DE CASTILLA-LA MANCHA; and the grant for secondments of Vicerrectorado de Profesorado y Desarrollo Profesional de la UCLM.
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Cabañero, L., Perez-Vereda, A., Nugent, C., Cleland, I., Hervas, R., González, I. (2023). A Software Tool and a Metamodel for Digital Twins of Inhabited Smart Environments. In: Bravo, J., Ochoa, S., Favela, J. (eds) Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). UCAmI 2022. Lecture Notes in Networks and Systems, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-031-21333-5_74
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DOI: https://doi.org/10.1007/978-3-031-21333-5_74
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