Advanced bioelectrical signal processing methods: Past, present, and future approach—Part III: Other biosignals

R Martinek, M Ladrova, M Sidikova, R Jaros… - Sensors, 2021 - mdpi.com
Analysis of biomedical signals is a very challenging task involving implementation of various
advanced signal processing methods. This area is rapidly develo**. This paper is a Part III …

In ictu oculi: Exposing ai created fake videos by detecting eye blinking

Y Li, MC Chang, S Lyu - 2018 IEEE International workshop on …, 2018 - ieeexplore.ieee.org
The new developments in deep generative networks have significantly improve the quality
and efficiency in generating realistically-looking fake face videos. In this work, we describe a …

In ictu oculi: Exposing ai generated fake face videos by detecting eye blinking

Y Li, MC Chang, S Lyu - arxiv preprint arxiv:1806.02877, 2018 - arxiv.org
The new developments in deep generative networks have significantly improve the quality
and efficiency in generating realistically-looking fake face videos. In this work, we describe a …

Adaptive linear regression for appearance-based gaze estimation

F Lu, Y Sugano, T Okabe, Y Sato - IEEE transactions on pattern …, 2014 - ieeexplore.ieee.org
We investigate the appearance-based gaze estimation problem, with respect to its essential
difficulty in reducing the number of required training samples, and other practical issues …

mEBAL: A multimodal database for eye blink detection and attention level estimation

R Daza, A Morales, J Fierrez, R Tolosana - Companion publication of the …, 2020 - dl.acm.org
This work presents mEBAL, a multimodal database for eye blink detection and attention
level estimation. The eye blink frequency is related to the cognitive activity and automatic …

Eye blink detection for different driver states in conditionally automated driving and manual driving using EOG and a driver camera

J Schmidt, R Laarousi, W Stolzmann… - Behavior research …, 2018 - Springer
In this article, we examine the performance of different eye blink detection algorithms under
various constraints. The goal of the present study was to evaluate the performance of an …

Blink detection robust to various facial poses

WO Lee, EC Lee, KR Park - Journal of neuroscience methods, 2010 - Elsevier
Applications based on eye-blink detection have increased, as a result of which it is essential
for eye-blink detection to be robust and non-intrusive irrespective of the changes in the …

Deep learning technology for face forgery detection: A survey

L Ma, P Yang, Y Xu, Z Yang, P Li, H Huang - Neurocomputing, 2024 - Elsevier
Currently, the rapid development of computer vision and deep learning has enabled the
creation or manipulation of high-fidelity facial images and videos via deep generative …

Trigger motion and interface optimization of an eye-controlled human-computer interaction system based on voluntary eye blinks

GR Ma, JX He, CH Chen, YF Niu, L Zhang… - Human–Computer …, 2024 - Taylor & Francis
Eye-controlled human-computer interaction (ECHCI) attracts attention for its human-
centered, natural and direct operation characteristics. The most common ECHCI trigger …

Towards real-time eyeblink detection in the wild: Dataset, theory and practices

G Hu, Y **ao, Z Cao, L Meng, Z Fang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Effective and real-time eyeblink detection is of wide-range applications, such as deception
detection, drive fatigue detection, face anti-spoofing. Despite previous efforts, most of …