Abstract
This working in progress will focus on a certain sector of the population such as the elderly people, who face difficulties in their cognitive and physical capacities declining as the years progress, it is essential to provide better living conditions through the use of technology that must be friendly with users. The development will be of a web system with agents and include sensors in the room to regulate the temperature, light, and a bracelet-shaped sensor to detect the user’s heart rate, the use of algorithms is proposed of learning and proactive stage adapted with classification algorithms to measure the efficiency with the best performance.
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Acknowledgments
To CONACYT, for the support provided during the period of study for the master’s degree. To Dr. Rosario Baltazar and the members of the committee of researchers who took part during the realization of this preliminary study. Special thanks goes to The University of Texas Rio Grande Valley for my stay research like to Dr. Jesus Gonzalez and Dr. Anabel Pineda for his valuable contribution of knowledge.
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Huerta, U., Baltazar, R., Pineda, A., Rocha, M., Casillas, M. (2020). Data Analysis of Sensors in Smart Homes for Applications Healthcare in Elderly People. In: Jezic, G., Chen-Burger, J., Kusek, M., Sperka, R., Howlett, R., Jain, L. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2020. Smart Innovation, Systems and Technologies, vol 186. Springer, Singapore. https://doi.org/10.1007/978-981-15-5764-4_25
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DOI: https://doi.org/10.1007/978-981-15-5764-4_25
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