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Transfer learning for EEG-based brain–computer interfaces: A review of progress made since 2016
A brain–computer interface (BCI) enables a user to communicate with a computer directly
using brain signals. The most common noninvasive BCI modality, electroencephalogram …
using brain signals. The most common noninvasive BCI modality, electroencephalogram …
Affective brain–computer interfaces (abcis): A tutorial
A brain–computer interface (BCI) enables a user to communicate directly with a computer
using only the central nervous system. An affective BCI (aBCI) monitors and/or regulates the …
using only the central nervous system. An affective BCI (aBCI) monitors and/or regulates the …
Measuring and computing cognitive statuses of construction workers based on electroencephalogram: a critical review
Construction workers' cognitive statuses affecting their safety and productivity are essential
for successful construction management. Electroencephalogram (EEG) provides a potential …
for successful construction management. Electroencephalogram (EEG) provides a potential …
Understanding mental fatigue and its detection: a comparative analysis of assessments and tools
Mental fatigue has shown to be one of the root causes of decreased productivity and overall
cognitive performance, by decreasing an individual's ability to inhibit responses, process …
cognitive performance, by decreasing an individual's ability to inhibit responses, process …
Polyvinyl alcohol/polyacrylamide double-network hydrogel-based semi-dry electrodes for robust electroencephalography recording at hairy scalp for noninvasive …
G Li, Y Liu, Y Chen, M Li, J Song, K Li… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Reliable and user-friendly electrodes can continuously and real-time capture the
electroencephalography (EEG) signals, which is essential for real-life brain–computer …
electroencephalography (EEG) signals, which is essential for real-life brain–computer …
Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Emotion is a subjective psychophysiological reaction coming from external stimuli which
impacts every aspect of our daily lives. Due to the continuing development of non-invasive …
impacts every aspect of our daily lives. Due to the continuing development of non-invasive …
Mental fatigue measurement using eye metrics: A systematic literature review
T Bafna, JP Hansen - Psychophysiology, 2021 - Wiley Online Library
Mental fatigue measurement techniques utilize one or a combination of the cognitive,
affective, and behavioral responses of the body. Eye‐tracking and electrooculography …
affective, and behavioral responses of the body. Eye‐tracking and electrooculography …
[HTML][HTML] Fatigue, personnel scheduling and operations: Review and research opportunities
S Xu, NG Hall - European Journal of Operational Research, 2021 - Elsevier
Work-related fatigue is a multidimensional phenomenon with significant effects on
operational performance. Our work focuses on how the literature of operational research …
operational performance. Our work focuses on how the literature of operational research …
Enhancing cross-subject EEG emotion recognition through multi-source manifold metric transfer learning
Transfer learning (TL) has demonstrated its efficacy in addressing the cross-subject domain
adaptation challenges in affective brain-computer interfaces (aBCI). However, previous TL …
adaptation challenges in affective brain-computer interfaces (aBCI). However, previous TL …