Peripheral Nervous System Responses to Food Stimuli: Analysis Using Data Science Approaches

Fuente: arXiv
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Autori principali: Moranges, Maelle, Plantevit, Marc, Bensafi, Moustafa
Natura: Preprint
Pubblicazione: 2024
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author Moranges, Maelle
Plantevit, Marc
Bensafi, Moustafa
author_facet Moranges, Maelle
Plantevit, Marc
Bensafi, Moustafa
contents In the field of food, as in other fields, the measurement of emotional responses to food and their sensory properties is a major challenge. In the present protocol, we propose a step-by-step procedure that allows a physiological description of odors, aromas, and their hedonic properties. The method rooted in subgroup discovery belongs to the field of data science and especially data mining. It is still little used in the field of food and is based on a descriptive modeling of emotions on the basis of human physiological responses.
format Preprint
id arxiv_https___arxiv_org_abs_2405_15810
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Peripheral Nervous System Responses to Food Stimuli: Analysis Using Data Science Approaches
Moranges, Maelle
Plantevit, Marc
Bensafi, Moustafa
Neurons and Cognition
In the field of food, as in other fields, the measurement of emotional responses to food and their sensory properties is a major challenge. In the present protocol, we propose a step-by-step procedure that allows a physiological description of odors, aromas, and their hedonic properties. The method rooted in subgroup discovery belongs to the field of data science and especially data mining. It is still little used in the field of food and is based on a descriptive modeling of emotions on the basis of human physiological responses.
title Peripheral Nervous System Responses to Food Stimuli: Analysis Using Data Science Approaches
topic Neurons and Cognition
url https://arxiv.org/abs/2405.15810