Cargando…
A Multisensor Data Fusion Approach for Predicting Consumer Acceptance of Food Products
Sensory experiences play an important role in consumer response, purchase decision, and fidelity towards food products. Consumer studies when launching new food products must incorporate physiological response assessment to be more precise and, thus, increase their chances of success in the market....
Autores principales: | Álvarez-Pato, Víctor M., Sánchez, Claudia N., Domínguez-Soberanes, Julieta, Méndoza-Pérez, David E., Velázquez, Ramiro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353528/ https://www.ncbi.nlm.nih.gov/pubmed/32545344 http://dx.doi.org/10.3390/foods9060774 |
Ejemplares similares
-
Liking Product Landscape: Going Deeper into Understanding Consumers’ Hedonic Evaluations
por: Sánchez, Claudia N., et al.
Publicado: (2019) -
Multisensor data fusion : from algorithms and architectural design to applications /
Publicado: (2016) -
Multisensor Estimation Fusion on Statistical Manifold
por: Chen, Xiangbing, et al.
Publicado: (2022) -
Handbook of multisensor data fusion: theory and practice
por: Liggins, Martin E, et al.
Publicado: (2008) -
An Integrated Model for Robust Multisensor Data Fusion
por: Shen, Bo, et al.
Publicado: (2014)