Designing and Evaluating Scalable Behavioral Biometrics Systems for Pervasive Computing Environments

Principal Investigators

Prof. Dr. Florian Alt, Bundeswehr University Munich, Munich (Homepage)
Prof. Dr. Stefan Schneegass, University of Duisburg-Essen, Essen (Homepage)

Pervasive computing environments, such as smart public spaces, contain many different sensing and interaction opportunities for users. One core challenge is authenticating and identifying users to provide customized services. In this project, we investigate how this can be realized using behavioural biometrics. The main research question this project is addressing is how behavioural biometrics approaches scale to different pervasive computing environments containing multiple users with changing behaviour, different physicalities, and changing sensing and interaction capabilities.

Main Research Question

How do behavioural biometrics approaches scale to different pervasive computing environments containing multiple users with changing behaviour, different physicalities, and changing sensing and interaction capabilities?

Sub-Research Questions

Questions that will be addressed in the project include, but are not limited to:

1. How users’ behaviour is influenced both by multiple other people in the vicinity, characteristics of a space (either public or private), as well as by novel interaction techniques that emerge as a result of more and more computers becoming parts of our everyday life,
2. How does this influence the way we design and develop behavioural biometrics systems (building and (re-) training user models, storing and exchanging data), and
3. What this means for behavioural biometrics-based authentication concepts (e.g., how can we build user interfaces that foster a certain behaviour, how can appropriate behavioural traits be identified based on the current context).