Sensing technology for human activity recognition: A comprehensive survey

B Fu, N Damer, F Kirchbuchner, A Kuijper - Ieee Access, 2020 - ieeexplore.ieee.org
Sensors are devices that quantify the physical aspects of the world around us. This ability is
important to gain knowledge about human activities. Human Activity recognition plays an …

Automatic gaze analysis: A survey of deep learning based approaches

S Ghosh, A Dhall, M Hayat, J Knibbe… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …

Iris and periocular biometrics for head mounted displays: Segmentation, recognition, and synthetic data generation

F Boutros, N Damer, K Raja, R Ramachandra… - Image and Vision …, 2020 - Elsevier
Augmented and virtual reality deployment is finding increasing use in novel applications.
Some of these emerging and foreseen applications allow the users to access sensitive …

Exploring bias in sclera segmentation models: A group evaluation approach

M Vitek, A Das, DR Lucio, LA Zanlorensi… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Bias and fairness of biometric algorithms have been key topics of research in recent years,
mainly due to the societal, legal and ethical implications of potentially unfair decisions made …

Eye-tracked virtual reality: a comprehensive survey on methods and privacy challenges

E Bozkir, S Özdel, M Wang, B David-John… - arXiv preprint arXiv …, 2023 - arxiv.org
Latest developments in computer hardware, sensor technologies, and artificial intelligence
can make virtual reality (VR) and virtual spaces an important part of human everyday life …

Ssbc 2020: Sclera segmentation benchmarking competition in the mobile environment

M Vitek, A Das, Y Pourcenoux, A Missler… - … Joint Conference on …, 2020 - ieeexplore.ieee.org
The paper presents a summary of the 2020 Sclera Segmentation Benchmarking
Competition (SSBC), the 7th in the series of group benchmarking efforts centred around the …

NIR iris challenge evaluation in non-cooperative environments: Segmentation and localization

C Wang, Y Wang, K Zhang… - … joint conference on …, 2021 - ieeexplore.ieee.org
For iris recognition in non-cooperative environments, iris segmentation has been regarded
as the first most important challenge still open to the biometric community, affecting all …

Cross-database and cross-attack iris presentation attack detection using micro stripes analyses

M Fang, N Damer, F Boutros, F Kirchbuchner… - Image and Vision …, 2021 - Elsevier
With the widespread use of mobile devices, iris recognition systems encounter more
challenges, such as the vulnerability of Presentation Attack Detection (PAD). Recent works …

On benchmarking iris recognition within a head-mounted display for ar/vr applications

F Boutros, N Damer, K Raja… - … Joint Conference on …, 2020 - ieeexplore.ieee.org
Augmented and virtual reality is being deployed in different fields of applications. Such
applications might involve accessing or processing critical and sensitive information, which …

Finding stars from fireworks: Improving non-cooperative iris tracking

C Lin, X Li, Z Li, J Hou - … on Circuits and Systems for Video …, 2022 - ieeexplore.ieee.org
We revisit the problem of iris tracking with RGB cameras, aiming to obtain iris contours from
captured images of eyes. We find the reason that limits the performance of the state-of-the …