Abstract
Augmented Reality (AR) offers the possibility to present information depending on the context/location: pointing at a given appliance will automatically present relevant interfaces. In this work, we explore Pervasive AR in the context of the Smart Home: users may select the control of a given appliance by pointing at it, simplifying the interaction process. This idea is then extended to consider user profile in the loop: face recognition is used to recognize a given user of and adapt the interface not only to location but also to specific users needs. A preliminary study was conducted to evaluate and validate the concept.
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Acknowledgments
To all participants involved in the case studies, thanks for collaborating in providing essential data and relevant feedback. The present study was developed in the scope of the Smart Green Homes Project [POCI-01-0247-FEDER-007678], a co-promotion between Bosch Termotecnologia S.A. and the University of Aveiro. It is financed by Portugal 2020 under the Competitiveness and Internationalization Operational Program, and by the European Regional Development Fund. This study was also supported by IEETA - Institute of Electronics and Informatics Engineering of Aveiro, funded by National Funds through the FCT - Foundation for Science and Technology, in the context of the project UID/CEC/00127/2019.
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Marques, B., Dias, P., Alves, J., Santos, B.S. (2020). Adaptive Augmented Reality User Interfaces Using Face Recognition for Smart Home Control. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds) Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-27928-8_3
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DOI: https://doi.org/10.1007/978-3-030-27928-8_3
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