Development and Validation of a Taxonomy for Use Cases Employing Vital-Sign-Based Biometric User Authentication in...

Area of Science:

• Biomedical Engineering
• Computer Science
• Information Security

Background:

• Continuous and unobtrusive identity verification is crucial in healthcare.
• Vital-sign signals like electrocardiogram (ECG) and photoplethysmogram (PPG) offer potential for biometric authentication.
• Existing approaches lack a systematic framework for diverse healthcare applications.

Purpose of the Study:

• To develop a comprehensive taxonomy for vital-sign-based biometric authentication in healthcare.
• To provide a structured framework for analyzing and comparing different biometric systems.
• To offer design guidance for researchers and developers in this field.

Main Methods:

• Iterative literature review to identify key dimensions and characteristics.
• Classification of use cases to ensure comprehensive coverage.
• Development of a taxonomy with 16 dimensions and 46 characteristics.

Main Results:

• A detailed taxonomy for vital-sign-based biometric authentication systems.
• A framework enabling systematic comparison and evaluation of biometric technologies.
• Identification of 16 distinct dimensions and 46 specific characteristics.

Conclusions:

• The proposed taxonomy provides a practical framework for the healthcare biometrics field.
• It facilitates clear comparison and informed design decisions for biometric authentication systems.
• This work supports the advancement and application of continuous, unobtrusive identity verification in healthcare settings.