Results 31 to 40 of about 10,714 (163)
The Effect of Time Window Length on EEG-Based Emotion Recognition
Sensors, 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
Editorial: Ergonomics and Human Factors in Aviation [PDF]
Ergonomics, 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
Altered Default Mode Network Dynamics in Civil Aviation Pilots
Frontiers 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
Human factors and ergonomics for primary care [PDF]
Education for Primary Care, 2016 In the second paper of this series, we provide a brief overview of the scientific discipline of human factors and ergonomics (HFE). Traditionally the HFE focus in healthcare has been in acute hospital settings which are perceived to exhibit characteristics more similar to other high-risk industries already applying related principles and methods.
Paul, Bowie, Shelly, Jeffcott
openaire +2 more sources
HeliyonDriving 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
Synchronization-based fusion of EEG and eye blink signals for enhanced decoding accuracy
Scientific ReportsDecoding 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
Frontiers in Robotics and AIIntroductionRobotics 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
Applying Machine Learning to Identify Autism With Restricted Kinematic Features
IEEE Access, 2019 Existing diagnosis of the autism spectrum disorder (ASD) heavily depends on the informant's evaluation of the patient's behavior, which is both time consuming and labor demanding.
Zhong Zhao +7 more
doaj +1 more source
Robotics, 2022 Handing over objects is a collaborative task that requires participants to synchronize their actions in terms of space and time, as well as their adherence to social standards. If one participant is a social robot and the other a visually impaired human,
Dorothea Langer +4 more
doaj +1 more source
Effects of a Social Robot's Autonomy and Group Orientation on Human Decision-Making
Advances in Human-Computer Interaction, 2013 Social attributes of intelligent robots are important for human-robot systems. This paper investigates influences of robot autonomy (i.e., high versus low) and group orientation (i.e., ingroup versus outgroup) on a human decision-making process.
Pei-Luen Patrick Rau, Ye Li, Jun Liu
doaj +1 more source