Results 11 to 20 of about 11,337 (303)

The effects of situational factors on human-robot interaction experience

Shenzhen Daxue xuebao. Ligong ban, 2023
Systematic and quantitative evaluation of interaction situational factors (i.e., interaction distance, interaction posture, and feedback style) are of great significance for the optimization of human-robot interaction (HRI) experience.
XIE Binfu, TAO Da, LI Shilong, REN Xinyuan   +3 more
doaj   +1 more source

Effects of non-driving related tasks on mental workload and take-over times during conditional automated driving

European Transport Research Review, 2021
Background Automated driving will be of high value in the future. While in partial-automated driving the driver must always monitor the traffic situation, a paradigm shift is taking place in the case of conditional automated driving (Level 3 according to
Andreas Lars Müller, Natacha Fernandes-Estrela, Ruben Hetfleisch, Lukas Zecha, Bettina Abendroth   +4 more
doaj   +1 more source

Evaluation of drivers' mental workload based on multi-modal physiological signals

Shenzhen Daxue xuebao. Ligong ban, 2022
Accurately assessing the driver's mental workload is of great significance to reduce the traffic accidents caused by the driver's mental overload. This study aims to evaluate drivers' mental workload in simulated typical driving scenarios, with N-back ...
ZHANG Qiliang, YANG Kunhua, QU Xingda, TAO Da   +3 more
doaj   +1 more source

Deep Learning Approaches on Defect Detection in High Resolution Aerial Images of Insulators

Sensors, 2021
By detecting the defect location in high-resolution insulator images collected by unmanned aerial vehicle (UAV) in various environments, the occurrence of power failure can be timely detected and the caused economic loss can be reduced.
Qiaodi Wen, Ziqi Luo, Ruitao Chen, Yifan Yang, Guofa Li   +4 more
doaj   +1 more source

Operator State in a Workplace Simulation Modulates Eye-Blink Related EEG Activity

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Evaluating and understanding the cognitive demands of natural activities has been difficult using neurocognitive approaches like mobile EEG. While task-unrelated stimuli are commonly added to a workplace simulation to estimate event-related cognitive ...
Emad Alyan, Edmund Wascher, Stefan Arnau, Ruth Kaesemann, Julian Elias Reiser   +4 more
doaj   +1 more source

A rapid review of mental and physical health effects of working at home: how do we optimise health?

BMC Public Health, 2020
Background The coronavirus (COVID-19) pandemic has resulted in changes to the working arrangements of millions of employees who are now based at home and may continue to work at home, in some capacity, for the foreseeable future.
Jodi Oakman, Natasha Kinsman, Rwth Stuckey, Melissa Graham, Victoria Weale   +4 more
doaj   +1 more source

A participatory ergonomics intervention to re-design work and improve the musculoskeletal health of paramedics: protocol for a cluster randomised controlled trial

BMC Musculoskeletal Disorders, 2023
Background In this paper, we present the protocol for a cluster randomised controlled trial to evaluate the effectiveness and implementation of a participative risk management intervention to address work-related musculoskeletal disorders (WMSDs).
Karen Davies, Victoria Weale, Jodi Oakman   +2 more
doaj   +1 more source

Working from home in Australia during the COVID-19 pandemic: cross-sectional results from the Employees Working From Home (EWFH) study

BMJ Open, 2022
Objectives To investigate the impacts, on mental and physical health, of a mandatory shift to working from home during the COVID-19 pandemic.Design Cross sectional, online survey.Setting Online survey was conducted from September 2020 to November 2020 in
Rwth Stuckey, Jodi Oakman, Natasha Kinsman, Katrina Lambert, Melissa Graham, Victoria Weale   +5 more
doaj   +1 more source

Detection of Road Objects With Small Appearance in Images for Autonomous Driving in Various Traffic Situations Using a Deep Learning Based Approach

IEEE Access, 2020
Effectively detecting road objects in various environments would significantly improve driving safety for autonomous vehicles. However, small objects, low illumination, and blurred outline in images strongly limit the performance of current road object ...
Guofa Li, Heng Xie, Weiquan Yan, Yunlong Chang, Xingda Qu   +4 more
doaj   +1 more source

A Digital Twin-Based Platform towards Intelligent Automation with Virtual Counterparts of Flight and Air Traffic Control Operations

Applied Sciences, 2021
Automation technologies have been deployed widely to boost the efficiency of production and operations, to trim the complicated process, and to reduce the human error involved.
Cho Yin Yiu, Kam K. H. Ng, Ching-Hung Lee, Chun Ting Chow, Tsz Ching Chan, Kwok Chun Li, Ka Yeung Wong   +6 more
doaj   +1 more source