%0 Conference Paper %F Poster %T Development of Partial Least Square models for the prediction of the concentration of a gustative stimulus in water from physiological data %+ Centre Scientifique et Technique du Bâtiment (CSTB) %+ Laboratoire des Sciences du Numérique de Nantes (LS2N) %+ Ecole Nationale Supérieure de Chimie de Rennes (ENSCR) %A Haese, Gwenaelle %A Humeau, Philippe %A de Oliveira, Fabrice %A Le Callet, P. %A Le Cloirec, Pierre %< avec comité de lecture %Z IPI_HCERES2020 %B Eurosense 2016 %C Dijon, France %8 2016-09-11 %D 2016 %Z Engineering Sciences [physics]Conference poster %X Classical physicochemical or sensory methodologies are often inadequate to describe the perception of water and their correlation is complicated. Indeed, the taste of water is difficult to describe due to low concentrations of sapid molecules. The aim of this work was to combine sensory and physiological measurements in order to correlate data with chemical properties of sapid solutions. %G English %2 https://cstb.hal.science/hal-02378253/document %2 https://cstb.hal.science/hal-02378253/file/Eurosense2016_abstract%2Bposter.pdf %L hal-02378253 %U https://cstb.hal.science/hal-02378253 %~ UNIV-NANTES %~ INSTITUT-TELECOM %~ CSTB %~ CNRS %~ EC-NANTES %~ ENSC-RENNES %~ ISCR %~ UNAM %~ SCR-CIP %~ UR1-SPM %~ UR1-UFR-SPM %~ UR1-SDLM %~ LS2N %~ UNIV-RENNES %~ INSTITUTS-TELECOM %~ UR1-MMS %~ NANTES-UNIVERSITE %~ UNIV-NANTES-AV2022 %~ NU-CENTRALE