Eye-tracking feature extraction for biometric machine learning

JZ Lim, J Mountstephens, J Teo - Frontiers in neurorobotics, 2022 - frontiersin.org
Context Eye tracking is a technology to measure and determine the eye movements and eye
positions of an individual. The eye data can be collected and recorded using an eye tracker …

Cognitive workload estimation using physiological measures: a review

D Das Chakladar, PP Roy - Cognitive Neurodynamics, 2024 - Springer
Estimating cognitive workload levels is an emerging research topic in the cognitive
neuroscience domain, as participants' performance is highly influenced by cognitive …

Adaptive event-triggered control for nonlinear systems with asymmetric state constraints: A prescribed-time approach

Z Wang, HK Lam, Y Guo, B **ao, Y Li… - … on Automatic Control, 2022 - ieeexplore.ieee.org
Finite/fixed-time control yields a promising tool to optimize a system's settling time, but lacks
the ability to separately define the settling time and the convergence domain (known as …

[HTML][HTML] Enhanced interactivity in VR-based telerobotics: an eye-tracking investigation of human performance and workload

F Nenna, D Zanardi, L Gamberini - International Journal of Human …, 2023 - Elsevier
Virtual Reality (VR) is gaining ground in the robotics and teleoperation industry, opening
new prospects as a novel computerized methodology to make humans interact with robots …

Exploratory study on time-delayed excavator teleoperation in virtual lunar construction simulation: Task performance and operator behavior

M Seo, S Gupta, Y Ham - Automation in Construction, 2024 - Elsevier
Building sustainable habitats on the moon has been planned for decades. However,
applying fully automated construction systems is still challenging in altered environments …

Effects of paradigm color and screen brightness on visual fatigue in light environment of night based on eye tracker and EEG acquisition equipment

P Tian, G Xu, C Han, X Zheng, K Zhang, C Du, F Wei… - Sensors, 2022 - mdpi.com
Nowadays, more people tend to go to bed late and spend their sleep time with various
electronic devices. At the same time, the BCI (brain–computer interface) rehabilitation …

Towards human-robot collaborative surgery: Trajectory and strategy learning in bimanual peg transfer

ZJ Hu, Z Wang, Y Huang, A Sena… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
While the traditional control of surgical robots relies on fully manual teleoperations, human-
robot collaborative systems promise to address issues such as workspace constrains and …

Toward a Brain‐Computer Interface‐and Internet of Things‐Based Smart Ward Collaborative System Using Hybrid Signals

X Cai, J Pan - Journal of Healthcare Engineering, 2022 - Wiley Online Library
This study proposes a brain‐computer interface (BCI)‐and Internet of Things (IoT)‐based
smart ward collaborative system using hybrid signals. The system is divided into hybrid …

Effect of time-delay on lunar sampling tele-operations: Evidences from cardiac, ocular and behavioral measures

S Timman, M Landgraf, C Haskamp, S Lizy-Destrez… - Applied Ergonomics, 2023 - Elsevier
The purpose of this study is to quantify performance in human-robot interaction under time-
delay conditions in a lunar tele-operations sampling task, by testing the hypothesis that an …

Quantitative physical ergonomics assessment of teleoperation interfaces

S Gholami, M Lorenzini, E De Momi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Human factors and ergonomics are the essential constituents of teleoperation interfaces,
which can significantly affect the human operator's performance. Thus, a quantitative …