Search Results for author: Vlad Shmerko

Found 9 papers, 0 papers with code

Intelligent Stress Assessment for e-Coaching

no code implementations3 Nov 2023 Kenneth Lai, Svetlana Yanushkevich, Vlad Shmerko

This paper considers the adaptation of the e-coaching concept at times of emergencies and disasters, through aiding the e-coaching with intelligent tools for monitoring humans' affective state.

Fairness on Synthetic Visual and Thermal Mask Images

no code implementations19 Sep 2022 Kenneth Lai, Vlad Shmerko, Svetlana Yanushkevich

In this paper, we study performance and fairness on visual and thermal images and expand the assessment to masked synthetic images.

Fairness

Biometrics in the Time of Pandemic: 40% Masked Face Recognition Degradation can be Reduced to 2%

no code implementations3 Jan 2022 Leonardo Queiroz, Kenneth Lai, Svetlana Yanushkevich, Vlad Shmerko

In this study of the face recognition on masked versus unmasked faces generated using Flickr-Faces-HQ and SpeakingFaces datasets, we report 36. 78% degradation of recognition performance caused by the mask-wearing at the time of pandemics, in particular, in border checkpoint scenarios.

Face Recognition

Reliability of Decision Support in Cross-spectral Biometric-enabled Systems

no code implementations13 Aug 2020 Kenneth Lai, Svetlana N. Yanushkevich, Vlad Shmerko

This paper addresses the evaluation of the performance of the decision support system that utilizes face and facial expression biometrics.

On the Gap between Epidemiological Surveillance and Preparedness

no code implementations10 Aug 2020 Svetlana Yanushkevich, Vlad Shmerko

We argue that such DSS shall be a cognitive dynamic system enabling the CI and human expert to work together.

Decision Making

Risk Assessment in the Face-based Watchlist Screening in e-Border

no code implementations22 Jul 2020 Kenneth Lai, Svetlana N. Yanushkevich, Vlad Shmerko

This paper concerns with facial-based watchlist technology as a component of automated border control machines deployed in e-borders.

Emerging Biometrics: Deep Inference and Other Computational Intelligence

no code implementations22 Jun 2020 Svetlana Yanushkevich, Shawn Eastwood, Kenneth Lai, Vlad Shmerko

This paper aims at identifying emerging computational intelligence trends for the design and modeling of complex biometric-enabled infrastructure and systems.

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