A Cost-Effective Eye-Tracker for Early Detection of Mild Cognitive Impairment

This paper presents a low-cost eye-tracker aimed at carrying out tests based on a Visual Paired Comparison protocol for the early detection of Mild Cognitive Impairment. The proposed eye-tracking system is based on machine learning algorithms, a standard webcam, and two personal computers that const...

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Bibliographic Details
Published in:arXiv.org 2024-07
Main Authors: Greco, Danilo, Masulli, Francesco, Rovetta, Stefano, Cabri, Alberto, Daffonchio, Davide
Format: Article
Language:English
Subjects:
Algorithms
Eye movements
Heart rate
Impairment
Machine learning
Personal computers
Test procedures
Tracking systems
Online Access:Get full text
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Summary:This paper presents a low-cost eye-tracker aimed at carrying out tests based on a Visual Paired Comparison protocol for the early detection of Mild Cognitive Impairment. The proposed eye-tracking system is based on machine learning algorithms, a standard webcam, and two personal computers that constitute, respectively, the "Measurement Sub-System" performing the test on the patients and the "Test Management Sub-System" used by medical staff for configuring the test protocol, recording the patient data, monitoring the test and storing the test results. The system also integrates an stress estimator based on the measurement of heart rate variability obtained with photoplethysmography.
ISSN:2331-8422
DOI:10.48550/arxiv.2408.05369