  Sensory evaluation is used to assess the consumer acceptance of foods or
other consumer products, so as to improve industrial processes and marketing
strategies. The procedures currently involved are time-consuming because they
require a statistical approach from measurements and feedback reports from a
wide set of evaluators under a well-established measurement setup. In this
paper, we propose to collect directly the signal of the perceived quality of
the food from Event-related potentials (ERPs) that are the outcome of the
processing of visual stimuli. This permits to narrow the number of evaluators
since errors related to psychological factors are by-passed. We present the
design of a wearable system for ERP measurement and we present preliminary
results on the use of ERP to give a quantitative measure to the appearance of a
food product. The system is developed to be wearable and our experiments
demonstrate that is possible to use it to identify and classify the grade of
acceptance of the food.
