Results 31 to 40 of about 10,801 (251)

Antecedents of self-reported safety behaviors among commissioning workers in nuclear power plants: The roles of demographics, personality traits and safety attitudes

open access: yesNuclear Engineering and Technology, 2021
Demographics, personality traits and attitudes are related to safety behaviors in varied workplaces, but their roles in nuclear power plants (NPPs) have not been fully understood.
Da Tao   +5 more
doaj   +1 more source

The Effect of Time Window Length on EEG-Based Emotion Recognition

open access: yesSensors, 2022
Various lengths of time window have been used in feature extraction for electroencephalogram (EEG) signal processing in previous studies. However, the effect of time window length on feature extraction for the downstream tasks such as emotion recognition
Delin Ouyang   +3 more
doaj   +1 more source

Altered Default Mode Network Dynamics in Civil Aviation Pilots

open access: yesFrontiers in Neuroscience, 2020
BackgroundAirlines occupy an increasingly important place in the economy of many countries. Because air disasters may cause substantial losses, comprehensive surveys of the psychophysiological mechanism of flying are needed; however, relatively few ...
Xi Chen   +8 more
doaj   +1 more source

Editorial: Ergonomics and Human Factors in Aviation [PDF]

open access: yesErgonomics, 2019
Ergonomics and Human Factors (E/HF) in Aviation is essential for the safety and efficiency of commercial airlines, passenger, cargo and military operations, and for the well-being of their passenge...
Neville A, Stanton   +2 more
openaire   +2 more sources

Extrusion Bioprinting for Wound Healing: Innovations in Functionalized Bioinks and Bioprinting Technology

open access: yesAdvanced Materials Technologies, EarlyView.
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le   +4 more
wiley   +1 more source

Age-related differences in eye blink-related neural activity and functional connectivity during driving

open access: yesHeliyon
Driving is a complex task that requires effective neural processing and coordination, which degrade with aging. Previous studies suggest that age-related changes in cognitive and motor functions can influence driving performance.
Emad Alyan   +5 more
doaj   +1 more source

A Multidirectional Textile Interface for Remote Control Using Dynamic Area‐Based Capacitance Modulation

open access: yesAdvanced Robotics Research, EarlyView.
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus   +8 more
wiley   +1 more source

Synchronization-based fusion of EEG and eye blink signals for enhanced decoding accuracy

open access: yesScientific Reports
Decoding locomotor tasks is crucial in cognitive neuroscience for understanding brain responses to physical tasks. Traditional methods like EEG offer brain activity insights but may require additional modalities for enhanced interpretative precision and ...
Emad Alyan   +3 more
doaj   +1 more source

Human-centered assessment of robotics and exoskeletons in construction industry

open access: yesFrontiers in Robotics and AI
IntroductionRobotics and wearable systems are increasingly being discussed as potential solutions to address the physical demands, skill shortages and safety risks faced by the construction industry.
Susanne Niehaus   +4 more
doaj   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao   +4 more
wiley   +1 more source

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