Natural Multimodal Authentication in Smart Environments

Natural Multimodal Authentication in Smart Environments

The INIT Lab has been collaborating with the Ruiz HCI Lab at UF on a project to understand user preferences, attitudes, expectations, and needs with respect to natural multimodal authentication in the future of smart environments. We also call this project the “Biometrics” project because it started with the idea to make use of multimodal interactions in a seamless and unobtrusive way for authentication and security applications, similar to how personal biometrics like fingerprints and facial recognition are used passively without needing explicit input by users. We are still in the process of preparing our first publication on our work in this area, so stay tuned!

Biometrics Publications

Refereed Conference Papers & Posters

1. Morrison-Smith, S., Aloba, A., Lu, H., Benda, B., Esmaeili, S., Flores, G., Smith, J., Soni, N., Wang, I., Joy, R., Woodard, D.L., Ruiz, J., and Anthony, L. 2020. MMGatorAuth: A Novel Multimodal Dataset for Authentication Interactions in Gesture and Voice. Proceedings of the 2020 International Conference on Multimodal Interaction (ICMI ’20), October 25–29, 2020, Virtual event, Netherlands. ACM, New York, NY, USA, 8 pages, to appear. [PDF]


This work is partially supported by the Discover Financial Services, Inc., corporation innovation division. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect these agencies’ views.

The Team

Dr. Lisa Anthony
Dr. Jaime Ruiz
Aishat Aloba
Aaliyah Richlen
Kim Suarez
Yu-Peng Chen
Sarah Morrison-Smith (Former member)