IoT system and statistical validation for monitoring students’ health
Abstract
By blending the Internet of Things and the Statistics in Data Sciences, one can find interesting research and application areas, especially in the Educational sector. This paper proposes the implementation of a Health Station (kiosk) and
the analysis of biometrical data that an experimental procedure produces. Through the biometrical data, one can get the values of anthropometric variables that are useful to indicate the health status of some students of high school number 2 at the Universidad Autónoma del Estado de Hidalgo, México. In this first stage of the project, the paper proposes the measurement of the weight and height of students, to calculate the body mass index (BMI), and then relate it to other diseases. In order to acquire this information, weight and height sensors are required and the experimental results show that there are models that allow tests of normality and homogeneity of variances, which are useful to determine the type of statistics to use.
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References
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