研究论文
Deep learning-based construction equipment operators’ mental fatigue classification using wearable EEG sensor data
Imran Mehmood, Heng Li, Yazan Qarout, Waleed Umer, Shahnawaz Anwer, Haitao Wu, Mudasir Hussain, Maxwell Fordjour Antwi‐Afari
Hong Kong Polytechnic University Manufacturing Technology Centre (United Kingdom) Coventry (United Kingdom) Northumbria University
来源Advanced Engineering Informatics
年份2023
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逐年被引趋势
43220
23
24
4325
26
关键指标
102
被引次数 · OpenAlex
21.70
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 0.2%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
149
参考文献
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学术脉络
学科主题
生物医学Occupational Health and Safety Research
Human-Automation Interaction and Safety · Sleep and Work-Related Fatigue
参考文献 149
Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks
被引 653Yi Zheng, Qi Liu, Enhong Chen · Lecture notes in computer science · 2014
Emotional Affect Estimation Using Video and EEG Data in Deep Neural Networks
被引 20Arvid Frydenlund, Frank Rudzicz · Lecture notes in computer science · 2015
Proactive Construction Safety Control: Measuring, Monitoring, and Responding to Safety Leading Indicators
被引 245Matthew R. Hallowell, Jimmie Hinze, Kevin C. Baud · Journal of Construction Engineering and Management · 2013
此处列出前 3 条
施引文献 102
TFormer: A time–frequency Transformer with batch normalization for driver fatigue recognition
被引 81Ruilin Li, Minghui Hu, Ruobin Gao · Advanced Engineering Informatics · 2024
Air traffic controllers' mental fatigue recognition: A multi-sensor information fusion-based deep learning approach
被引 57Xiaoqing Yu, Chun‐Hsien Chen, Haohan Yang · Advanced Engineering Informatics · 2023
Multimodal integration for data-driven classification of mental fatigue during construction equipment operations: Incorporating electroencephalography, electrodermal activity, and video signals
被引 49Imran Mehmood, Heng Li, Waleed Umer · Developments in the Built Environment · 2023
按被引量排序，此处列出前 3 条