| 書目名稱 | Mental Fatigue Assessment in Demanding Marine Operations |
| 編輯 | Thiago Gabriel Monteiro,Houxiang Zhang |
| 視頻video | http://file.papertrans.cn/631/630759/630759.mp4 |
| 概述 | Includes sensor fusion framework structural design and implementation.Offers in-depth investigation of various data-driven methods for MF.Provides understanding from human factor basis to MF principle |
| 圖書封面 |  |
| 描述 | .This book investigates how human mental fatigue (MF) can be objectively measured during demanding maritime operations. The maritime domain is characterized by demanding operations. These operations can be especially complex and dangerous when they require coordination between different maritime vessels and several maritime operators. The best approach to quantify MF is through the use of physiological sensors including electroencephalogram (EEG), electrocardiogram, electromyogram, temperature sensor, and eye tracker can be applied, individually or in conjunction, in order to collect relevant data that can be mapped to an MF scale. More than simpler sensor fusion, this book bridges the gap between relevant sensor data and a quantifiable MF level using both data-driven and model-based approaches...Data-driven part investigates the use of different NNs combined for the MF assessment (MFA) task. Among the different architectures tested, convolutional neural networks (CNN) showed the best performance when dealing with multiple physiological data channels. Optimization was used to improve the performance of CNN in the cross-subject MFA task. Testing different combinations of physiologic |
| 出版日期 | Book 2024 |
| 關(guān)鍵詞 | Maritime Operations; Mental Fatigue Assessment; Artificial Intelligence; Physiological Sensors; EEG |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-97-3072-8 |
| isbn_softcover | 978-981-97-3074-2 |
| isbn_ebook | 978-981-97-3072-8 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機(jī)版|小黑屋|
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