EEG-based neural networks approaches for fatigue and drowsiness detection: A survey
Drowsiness is a state of fatigue or sleepiness characterized by a strong urge to sleep. It is
correlated with a progressive decline in response time, compromised processing of …
correlated with a progressive decline in response time, compromised processing of …
Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey
Cognitive fatigue, a state of reduced mental capacity arising from prolonged cognitive
activity, poses significant challenges in various domains, from road safety to workplace …
activity, poses significant challenges in various domains, from road safety to workplace …
Relative norm alignment for tackling domain shift in deep multi-modal classification
Multi-modal learning has gained significant attention due to its ability to enhance machine
learning algorithms. However, it brings challenges related to modality heterogeneity and …
learning algorithms. However, it brings challenges related to modality heterogeneity and …
Towards a real-time cognitive load assessment system for industrial human-robot cooperation
A Rajavenkatanarayanan… - 2020 29th IEEE …, 2020 - ieeexplore.ieee.org
Robots are increasingly present in environments shared with humans. Robots can
cooperate with their human teammates to achieve common goals and complete tasks. This …
cooperate with their human teammates to achieve common goals and complete tasks. This …
Differentiated learning for multi-modal domain adaptation
Directly deploying a trained multi-modal classifier to a new environment usually leads to
poor performance due to the well-known domain shift problem. Existing multi-modal domain …
poor performance due to the well-known domain shift problem. Existing multi-modal domain …
Detection and recognition of driver distraction using multimodal signals
Distracted driving is a leading cause of accidents worldwide. The tasks of distraction
detection and recognition have been traditionally addressed as computer vision problems …
detection and recognition have been traditionally addressed as computer vision problems …
A dataset for fatigue estimation during shoulder internal and external rotation movements using wearables
Wearable sensors have recently been extensively used in sports science, physical
rehabilitation, and industry providing feedback on physical fatigue. Information obtained …
rehabilitation, and industry providing feedback on physical fatigue. Information obtained …
Towards detecting levels of alertness in drivers using multiple modalities
Distracted and drowsy driving are two very common causes of car accidents as they
contribute to 2.3% of all the fatalities caused on the US roads. Therefore, in the era of smart …
contribute to 2.3% of all the fatalities caused on the US roads. Therefore, in the era of smart …
Inferring cognitive load level from physiological and personality traits
O Shaposhnyk, S Yanushkevich… - … on Information and …, 2023 - ieeexplore.ieee.org
The objective of this research is to predict the level of cognitive load of various degrees,
using the physiological measurement from wearables and the subject's psychological and …
using the physiological measurement from wearables and the subject's psychological and …
A methodological review on prediction of multi-stage hypovigilance detection systems using multimodal features
Q Abbas, A Alsheddy - IEEE Access, 2021 - ieeexplore.ieee.org
Several hypovigilance detection systems (HDx) were developed to avoid road-side
accidents due to driver fatigue. They have suffered from several limitations. Notably many of …
accidents due to driver fatigue. They have suffered from several limitations. Notably many of …