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 …

Detecting attended visual targets in video

E Chong, Y Wang, N Ruiz… - Proceedings of the IEEE …, 2020‏ - openaccess.thecvf.com
We address the problem of detecting attention targets in video. Our goal is to identify where
each person in each frame of a video is looking, and correctly handle the case where the …

Understanding cognitive and affective mechanisms in social psychology through eye-tracking

RM Rahal, S Fiedler - Journal of Experimental Social Psychology, 2019‏ - Elsevier
Social psychological research is increasingly interested in the cognitive and affective
processes underlying human behavior in social environments. To match this emerging …

Evaluation of appearance-based methods and implications for gaze-based applications

X Zhang, Y Sugano, A Bulling - Proceedings of the 2019 CHI conference …, 2019‏ - dl.acm.org
Appearance-based gaze estimation methods that only require an off-the-shelf camera have
significantly improved but they are still not yet widely used in the human-computer …

Revisiting data normalization for appearance-based gaze estimation

X Zhang, Y Sugano, A Bulling - … of the 2018 ACM symposium on eye …, 2018‏ - dl.acm.org
Appearance-based gaze estimation is promising for unconstrained real-world settings, but
the significant variability in head pose and user-camera distance poses significant …

GazePrompt: Enhancing Low Vision People's Reading Experience with Gaze-Aware Augmentations

R Wang, Z Potter, Y Ho, D Killough, L Zeng… - Proceedings of the …, 2024‏ - dl.acm.org
Reading is a challenging task for low vision people. While conventional low vision aids (eg,
magnification) offer certain support, they cannot fully address the difficulties faced by low …

Bodily behaviors in social interaction: Novel annotations and state-of-the-art evaluation

M Balazia, P Müller, ÁL Tánczos… - Proceedings of the 30th …, 2022‏ - dl.acm.org
Body language is an eye-catching social signal and its automatic analysis can significantly
advance artificial intelligence systems to understand and actively participate in social …

Classification of alzheimer's using deep-learning methods on webcam-based gaze data

A Harisinghani, H Sriram, C Conati, G Carenini… - Proceedings of the …, 2023‏ - dl.acm.org
There has been increasing interest in non-invasive predictors of Alzheimer's disease (AD)
as an initial screen for this condition. Previously, successful attempts leveraged eye-tracking …

Evaluating calibration-free webcam-based eye tracking for gaze-based user modeling

S Hutt, SK D'Mello - Proceedings of the 2022 international conference on …, 2022‏ - dl.acm.org
Eye tracking has been a research tool for decades, providing insights into interactions,
usability, and, more recently, gaze-enabled interfaces. Recent work has utilized consumer …

Data augmentation for human behavior analysis in multi-person conversations

K Li, D Guo, G Chen, F Liu, M Wang - Proceedings of the 31st ACM …, 2023‏ - dl.acm.org
In this paper, we present the solution of our team HFUT-VUT for the MultiMediate Grand
Challenge 2023 at ACM Multimedia 2023. The solution covers three sub-challenges: bodily …