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Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving.
Front Neurorobot
November 2023
BrainSigns SRL, Rome, Italy.
The human factor plays a key role in the automotive field since most accidents are due to drivers' unsafe and risky behaviors. The industry is now pursuing two main solutions to deal with this concern: in the short term, there is the development of systems monitoring drivers' psychophysical states, such as inattention and fatigue, and in the medium-long term, there is the development of fully autonomous driving. This second solution is promoted by recent technological progress in terms of Artificial Intelligence and sensing systems aimed at making vehicles more and more accurately aware of their "surroundings.
View Article and Find Full Text PDFTemporal and spectral electrooculographic features in a discrete precision task.
Psychophysiology
March 2024
School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
This study aimed to evaluate the utility and applicability of electrooculography (EOG) when studying ocular activity during complex motor behavior. Due to its lower spatial resolution relative to eye tracking (ET), it is unclear whether EOG can provide valid and accurate temporal measurements such as the duration of the Quiet Eye (QE), that is the uninterrupted dwell time on the visual target prior to and during action. However, because of its greater temporal resolution, EOG is better suited for temporal-spectral decomposition, a technique that allows us to distinguish between lower and higher frequency activity as a function of time.
View Article and Find Full Text PDFSensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks.
Sensors (Basel)
June 2023
Institute of Medical Informatics, University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany.
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic, and be ready to adapt to new circumstances. Most studies on driving safety focus on detecting anomalies in driver behavior and monitoring cognitive capabilities in drivers. In our study, we proposed a classifier for basic activities in driving a car, based on a similar approach that could be applied to the recognition of basic activities in daily life, that is, using electrooculographic (EOG) signals and a one-dimensional convolutional neural network (1D CNN).
View Article and Find Full Text PDFThe Berlin Bimanual Test for Tetraplegia (BeBiTT): development, psychometric properties, and sensitivity to change in assistive hand exoskeleton application.
J Neuroeng Rehabil
January 2023
Clinical Neurotechnology Laboratory, Department of Psychiatry and Neurosciences, Neurowissenschaftliches Forschungszentrum (NWFZ), Charité-Universitätsmedizin Berlin, Charité Campus Mitte (CCM), Charitéplatz 1, 10117, Berlin, Germany.
Background: Assistive hand exoskeletons are promising tools to restore hand function after cervical spinal cord injury (SCI) but assessing their specific impact on bimanual hand and arm function is limited due to lack of reliable and valid clinical tests. Here, we introduce the Berlin Bimanual Test for Tetraplegia (BeBiTT) and demonstrate its psychometric properties and sensitivity to assistive hand exoskeleton-related improvements in bimanual task performance.
Methods: Fourteen study participants with subacute cervical SCI performed the BeBiTT unassisted (baseline).
Danger, high voltage! Using EEG and EOG measurements for cognitive overload detection in a simulated industrial context.
Appl Ergon
July 2022
imec-mict-UGent, Miriam Makebaplein 1, 9000, Gent, Belgium.
Industrial settings will be characterized by far-reaching production automation brought about by advancements in robotics and artificial intelligence. As a consequence, human assembly workers will need to adapt quickly to new and more complex assembly procedures, which are most likely to increase cognitive workload, or potentially induce overload. Measurement and optimization protocols need to be developed in order to be able to monitor workers' cognitive load.
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