This document proposes developing an algorithm to identify individuals using their unique baseline brainwave patterns as a biometric. It aims to address identification issues with traditional methods, anticipate ethical issues, and determine the technology's legal position. The document reviews previous related research and defines objectives to develop an identification algorithm, highlight ethical impacts, and assess legality. It outlines preliminary design plans to achieve the objectives, including methods for acquiring, transforming, storing, and comparing brainwave data to identify individuals.
2. Baseline Brainwave Biometrics
www.oliviamoran.me
Olivia Moran is a leading training specialist who specialises in E-Learning instructional design
and is a certified Moodle expert. She has been working as a trainer and course developer for 3
years developing and delivery training courses for traditional classroom, blended learning and
E-learning.
Courses Olivia Moran Has Delivered:
● MOS
● ECDL
● Internet Marketing
● Social Media
● Google [Getting Irish Businesses Online]
● Web Design [FETAC Level 5]
● Adobe Dreamweaver
● Adobe Flash
● Moodle
Specialties:
★Moodle [MCCC Moodle Certified Expert]
★ E Learning Tools/ Technologies [Commercial & Open Source]
★ Microsoft Office Specialist
★ Web Design & Online Content Writer
★ Adobe Dreamweaver, Flash & Photoshop
ABOUT THIS PAPER
This paper was written as part of a group collaboration between Olivia Moran, Eric Nichols and
Barry Feehily. It was submitted to the University of Ulster as part of the Masters in Computing
and Information Systems Management, Intelligent Systems and Design.