バイオメディカル・ファジィ・システム学会大会講演論文集
Online ISSN : 2424-2586
Print ISSN : 1345-1510
ISSN-L : 1345-1510
33
会議情報

ニューラルネットワークによるこどものストレス状態評価推定モデルの構築
榎本 潤季, 河野 英昭, 山川 知美, 山川 烈
著者情報
会議録・要旨集 フリー

p. 76-79

詳細
抄録

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)"

著者関連情報
© 2020 バイオメディカル・ファジィ・システム学会
前の記事 次の記事
feedback
Top