Abstract
Nowadays, a large amount of people has access to the use of emerging information and communication technologies. These technologies allow interaction among people and communication between devices that can be monitored or even controlled without the need for being physically in the same place as the user. From this perspective, Internet of Things (IoT) and Machine Learning have emerged as technologies that allow monitoring, controlling (in person or remotely) devices installed in houses or buildings in order to detect behavior patterns to suggest feasible scenarios of comfort in smart houses. For this reason, intelligent configuration approaches for home automation control systems are required. Taking this into account, this work presents the development of a mobile application that performs the process of smart configuration of comfort in the field of home automation by using Machine Learning and IoT.
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This work was supported by Tecnológico Nacional de México (TecNM) and sponsored by the National Council of Science and Technology (CONACYT), the Secretariat of Public Education (SEP).
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Reyes-Campos, J., Alor-Hernández, G., Machorro-Cano, I., Sánchez-Cervantes, J.L., Muñoz-Contreras, H., Olmedo-Aguirre, J.O. (2020). IntelihOgarT: A Smart Platform to Contribute Comfort in Intelligent Home Environments by Using Internet of Things Paradigm and Machine Learning. In: Valencia-García, R., Alcaraz-Marmol, G., Del Cioppo-Morstadt, J., Vera-Lucio, N., Bucaram-Leverone, M. (eds) Technologies and Innovation. CITI 2020. Communications in Computer and Information Science, vol 1309. Springer, Cham. https://doi.org/10.1007/978-3-030-62015-8_11
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DOI: https://doi.org/10.1007/978-3-030-62015-8_11
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