Results 41 to 50 of about 17,982 (223)

Advancing Equitable and Just Practices in Human Factors and Ergonomics

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2021
Marginalized people are disproportionately harmed by systemic social inequities; human factors and ergonomics (HF/E) professionals can address these systemic issues by developing and implementing equitable and just practices.
Rory Lusebrink, Abigail R. Wooldridge, Mia Spiwak   +2 more
semanticscholar   +1 more source

Principles for the conduct of human factors/ergonomics in healthcare: a scoping study of the published evidence. [PDF]

BMJ Open Qual
O'Dea A, Sharafkhani M, Codd M, Browne M, O'Connor P, Ward ME.   +5 more
europepmc   +2 more sources

Broadening Diversity and Inclusivity in Human Factors and Ergonomics

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2021
Diversity and inclusivity are important, with demonstrated impact on numerous outcomes, including breadth, creativity, and innovation of work as well as satisfaction and commitment to organizations.
Mia Spiwak, Abigail R. Wooldridge, Rory Lusebrink   +2 more
semanticscholar   +1 more source

Embedding Ethical Principles into the Human Factors and Ergonomics Society: Interactive Discussion with the Code of Ethics Task Force

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2021
The society’s code of ethics was last updated in 2005 and thus needs to be reviewed and updated. To do so, the previous code of ethics was reviewed as well as other documentation particularly with respect to inclusion. The goal of the Code of Ethics Task
S. Peres, C. Acemyan, E. Bass, Emily Brunsen, Rosemarie Figueroa Jacinto, Julia Trippe, Richard Wagner   +6 more
semanticscholar   +1 more source

Estimation of Foot Plantar Center of Pressure Trajectories with Low-Cost Instrumented Insoles Using an Individual-Specific Nonlinear Model

Sensors, 2018
Postural control is a complex skill based on the interaction of dynamic sensorimotor processes, and can be challenging for people with deficits in sensory functions.
Xinyao Hu, Jun Zhao, Dongsheng Peng, Zhenglong Sun, Xingda Qu   +4 more
doaj   +1 more source

Continuous decision‐making for autonomous driving at intersections using deep deterministic policy gradient

IET Intelligent Transport Systems, 2022
Intersections have been identified as the most complex and accident‐prone traffic scenarios on road. Making appropriate decisions at intersections for driving safety, efficiency, and comfort become a challenging task for autonomous vehicles (AVs).
Guofa Li, Shenglong Li, Shen Li, Xingda Qu   +3 more
doaj   +1 more source

The Advances of Immersive Virtual Reality Interventions for the Enhancement of Stress Management and Relaxation among Healthy Adults: A Systematic Review

Applied Sciences, 2022
The rapid changes in human contacts due to the COVID-19 crisis have not only posed a huge burden on the population’s health but may have also increased the demand for evidence-based psychological programs delivered through digital technology.
Maria Velana, Sabrina Sobieraj, Jan Digutsch, Gerhard Rinkenauer   +3 more
doaj   +1 more source

Restricted Kinematics in Children With Autism in the Execution of Complex Oscillatory Arm Movements

Frontiers in Human Neuroscience, 2021
Restricted and repetitive behavior is a core symptom of autism spectrum disorder (ASD) characterized by features of restrictedness, repetition, rigidity, and invariance.
Zhong Zhao, Xiaobin Zhang, Haiming Tang, Xinyao Hu, Xingda Qu, Jianping Lu, Qiongling Peng   +6 more
doaj   +1 more source

ML-ANet: A Transfer Learning Approach Using Adaptation Network for Multi-label Image Classification in Autonomous Driving

Chinese Journal of Mechanical Engineering, 2021
To reduce the discrepancy between the source and target domains, a new multi-label adaptation network (ML-ANet) based on multiple kernel variants with maximum mean discrepancies is proposed in this paper.
Guofa Li, Zefeng Ji, Yunlong Chang, Shen Li, Xingda Qu, Dongpu Cao   +5 more
doaj   +1 more source

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, Yufei Yuan, Guofa Li, Zizheng Guo   +3 more
doaj   +1 more source