Peripheral Nervous System Responses to Food Stimuli: Analysis Using Data Science Approaches
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arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866909210305888256 |
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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 |