EEG-based emotion recognition using logistic regression with Gaussian kernel and Laplacian prior and investigation of critical frequency bands

C Pan, C Shi, H Mu, J Li, X Gao - Applied sciences, 2020 - mdpi.com
Emotion plays a nuclear part in human attention, decision-making, and communication.
Electroencephalogram (EEG)-based emotion recognition has developed a lot due to the …

The role of the prefrontal cortex and functional connectivity during maritime operations: an fNIRS study

S Fan, E Blanco‐Davis, J Zhang, A Bury… - Brain and …, 2021 - Wiley Online Library
Introduction Watchkeeping is a significant activity during maritime operations, and failures of
sustained attention and decision‐making can increase the likelihood of a collision. Methods …

Neuroergonomics

H Ayaz, F Dehais - Handbook of Human Factors and …, 2021 - Wiley Online Library
Recent advances in neuroscience and engineering have allowed increasingly accessible,
mobile, and wearable neurotechnologies that can record or alter human brain activity in …

Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks

JA Mark, A Curtin, AE Kraft, MD Ziegler… - Frontiers in …, 2024 - frontiersin.org
Introduction The efficiency and safety of complex high precision human-machine systems
such as in aerospace and robotic surgery are closely related to the cognitive readiness …

EEG-based performance-driven adaptive automated hazard alerting system in security surveillance support

X Zhou, PC Liao - Sustainability, 2023 - mdpi.com
Automated vision-based hazard detection algorithms are being rapidly developed to provide
hazard alerts for construction workers. However, these alerting systems often apply a fixed …

Functional connectivity within the fronto-parietal network predicts complex task performance: A FNIRS study

Q Chenot, E Lepron, X De Boissezon… - Frontiers in …, 2021 - frontiersin.org
Performance in complex tasks is essential for many high risk operators. The achievement of
such tasks is supported by high-level cognitive functions arguably involving functional …

Predicting task performance for intelligent human-machine interactions

J Heard, P Baskaran, JA Adams - Frontiers in Neurorobotics, 2022 - frontiersin.org
Human-machine teams are deployed in a diverse range of task environments and
paradigms that may have high failure costs (eg, nuclear power plants). It is critical that the …

Örgütsel performans ve işveren markası arasındaki ilişkiyi beyin görüntüleme yöntemiyle ölçümlemeye dair keşfedici bir çalışma

A Girişken - Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler …, 2021 - dergipark.org.tr
Disiplinler arası yaklaşımlar yönetim bilimlerinde sıklıkla gündeme gelmeye
başlamıştır. Profesyonel eksende örgütlerin daha verimli hale gelmesi …

[图书][B] Implementation of a Home-Use Virtual Environment BCI for People with ALS Using Different Facial Stimuli

E Dryden - 2022 - search.proquest.com
Abstract Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease that causes
progressive loss of voluntary movement, including the ability to speak. As the disease …

[PDF][PDF] Wearable Brain and Body Sensing for Multimodal Assessment of Cognitive Workload and Training

J Mark, AB Curtin, A Kraft, M Ziegler… - NATO Human Factors & …, 2022 - sto.nato.int
The efficiency and safety of complex high precision human-machine systems such as in
aerospace and robotic surgery are closely related to the cognitive readiness, ability to …