Abstract
This paper introduces Smart Cabin, a semantic-based framework for indoor comfort metrics customization inside a cruise cabin. Smart Cabin merges Ambient Intelligence, Ambient Assisted Living and Context Awareness perspectives to provide customized comfort experience to the cruise’s passengers. Considering that passengers may be afflicted by some impairments, Smart Cabin aims at mitigating discomfort situations by providing tailored comfort settings. The framework leverages ontological representations of passengers’ health conditions, activities, cabin’s environment, and available devices to provide passengers with indoor temperature, humidity rate, CO2 concentration, and luminance suitable for their health conditions and to the activities they want to perform inside the cruise cabin. Passengers’ interactions with Smart Cabin are performed with a simple smartphone application, while the ontologies composing the knowledge base are reasoned and hosted on a semantic repository. Two use cases depict the framework’s functioning in two typical scenarios: saving energy when the passenger leaves the cabin while reestablishing customized comfort when she/he returns, and adapting indoor comfort metrics when two or more passengers decide to perform different activities inside the same cabin.
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Acknowledgements
This study is part of Project AGORÀ, a Research and Innovation project coordinated by Fincantieri S.p.A. with the participation of the National Research Council (CNR); the project received grants from the Italian Ministry of Infrastructures and Transport (MIT). The authors would like to acknowledge Daniel Celotti, Alessandro Trotta, Nicola Bassan, and Paolo Guglia from Fincantieri S.p.A. for the support provided for this paper.
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Mahroo, A., Spoladore, D., Nolich, M., Buqi, R., Carciotti, S., Sacco, M. (2020). Smart Cabin: A Semantic-Based Framework for Indoor Comfort Customization Inside a Cruise Cabin. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1041. Springer, Singapore. https://doi.org/10.1007/978-981-15-0637-6_4
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