# Towards a Wearable Interface for Food Quality Grading through ERP Analysis

## TL;DR

This paper introduces a wearable ERP-based system for food quality grading that aims to streamline sensory evaluation by directly measuring neural responses, reducing evaluator bias and effort.

## Contribution

It presents a novel wearable device for ERP measurement and demonstrates its potential for objective food quality assessment through preliminary classification results.

## Key findings

- ERP signals can classify food acceptance levels
- Wearable system is feasible for real-time sensory evaluation
- Preliminary results show promising accuracy in grading food quality

## Abstract

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.