Big data on physical development

Medical experts are based on data statistics, collecting and analyzing data on height, weight, and body mass index (BMI) of different age groups to construct growth curves that reflect individual developmental trends. The significance of the growth curve lies in helping us understand the changes in individual growth rate and health status at different stages of life through continuous dynamic observation.

The unit is designed for unsupervised public use: controls are recessed or shielded, moving parts are enclosed, and the interface is operable by a child of about six with no instruction. Where a screen is used, the language can be switched without changing the hardware, and the content can be replaced on site.

Authoritative institutions such as the American Academy of Pediatrics and the World Health Organization believe that judging a child's growth and development is mainly based on their growth curve. Compared to viewing traditional height and weight charts, the significance of a growth curve lies in its continuous dynamics, allowing for observation of a child's growth and development during this period. By examining the growth curve, one can determine whether a child's development meets the standard. By comparing the generated curves, we can determine the level of growth and development of children compared to their peers of the same gender.