Anonymous Age Verification Using Electrocardiogram (ECG) Obtained from Smart Wearables

Age-verification mandatory procedure for delivering certain services and products. Traditionally, identification documents have been a common mechanism of age-verification. However, this current strategy is subject to certain risks regarding privacy protection and online forgery. This demonstrates the value in anonymous age verification schemes using biometrics. Considering its age-dependent attributes, Electrocardiogram (ECG) is a potential solution. Preliminary experiments have been conducted regarding age estimation- classification from ECG obtained in clinical settings. For wider implementation, it is essential to explore this technology for ECG obtained from smart wearables. This research project aims to serve that purpose. Its successful completion would contribute to determining the feasibility of ECG-based age verification systems for general use.

Faculty Supervisor:

Wei-Ping Zhu

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Technology; Cyber Security; Artificial Intelligence

University:

Concordia University

Program: