Analysis of facial expressions in response to basic taste stimuli using artificial intelligence to predict perceived hedonic ratings.

ABSTRACT: Taste stimuli can induce a variety of physiological reactions depending on the quality and/or hedonics (overall pleasure) of tastants, for which objective methods have long been desired. In this study, we used artificial intelligence (AI) technology to analyze facial expressions with the aim of assessing its utility as an objective method for the evaluation of food and beverage hedonics compared with conventional subjective (perceived) evaluation methods. The face of each participant (10 females; age range, 21-22 years) was photographed using a smartphone camera a few seconds after drinking 10 different solutions containing five basic tastes with different hedonic tones. Each image was then uploaded to an AI application to achieve outcomes for eight emotions (surprise, happiness, fear, neu

SUBMITTER: Yamamoto T 

PROVIDER: S-EPMC8096070 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature