Now showing items 1-2 of 2
Non-contact heart rate and blood pressure estimations from video analysis and machine learning modelling applied to food sensory responses: A case study for chocolate
Traditional methods to assess heart rate (HR) and blood pressure (BP) are intrusive and can affect results in sensory analysis of food as participants are aware of the sensors. This paper aims to validate a non-contact ...
Assessment of beer quality based on a robotic pourer, computer vision, and machine learning algorithms using commercial beers
(Wiley on behalf of Institute of Food Technologists, 2018-05-01)
Sensory attributes of beer are directly linked to perceived foam–related parameters and beer color. The aim of this study was to develop an objective predictive model using machine learning modeling to assess the intensity ...