Construction of a child's stress state evaluation estimation model with a neural network

Abstract

The blending of scents in current aromatherapy depends on the experience and knowledge of aromatherapy specialists, such as the selection and mixing ratio of fragrance components according to the purpose of use. However, in the near future, there is no doubt that the introduction of artificial intelligence technology will establish a "rational design method for essential oils" that takes into account the aromatic components of essential oils, their actions, contraindications and precautions. As part of this, in order to understand the stress status of children who are closed due to COVID-19 and refraining from going out, we used AI technology to respond to stress from the measured values of saliva amylase and the reaction to the scent of four types of essential oils. Build a system to estimate "total difficulty (TDS)"