Presentation
Extrapolation of weight from smart scale data
Author/s | Caballero, Pablo
Ortega Ramírez, Juan Antonio ![]() ![]() ![]() ![]() ![]() ![]() ![]() González Abril, Luis ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos Universidad de Sevilla. Departamento de Economía Aplicada I |
Publication Date | 2021 |
Deposit Date | 2022-06-27 |
Published in |
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ISBN/ISSN | 1877-0509 |
Abstract | In the area of human digital twins, the designed model should be as close as possible to the reality. The weight variable is one of the interested parameters of these mathematical models, as well as its interaction with ... In the area of human digital twins, the designed model should be as close as possible to the reality. The weight variable is one of the interested parameters of these mathematical models, as well as its interaction with other vital signals. The aim of this paper is including the information gathered from weight sensors of a person in its digital twin. To do this it is described an algorithm that filters and forecasts the human weight to use it in indexes such as BMI. It has been applied to a real sample and the results obtained are good |
Funding agencies | Ministerio de Ciencia, Innovación y Universidades (MICINN). España |
Project ID. | PGC2018-102145-B-C21
![]() PGC2018-102145-B-C22 ![]() |
Citation | Caballero, P., Ortega Ramírez, J.A. y González Abril, L. (2021). Extrapolation of weight from smart scale data. En KES 2021: 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (2761-2768), Szczecin, Poland: Elsevier. |
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