The mental fatigue detection framework.

<div><p>Control room operators encounter a substantial risk of mental fatigue, which can reduce their human reliability by diminishing concentration and responsiveness, leading to unsafe operations. There is value in detection of individuals’ mental fatigue status in the workplace. This...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Zuzhen Ji (17593348) (author)
مؤلفون آخرون:	Xian Xie (9622804) (author), Enjing Jiang (21029913) (author), Yuchen Wang (2036299) (author), Bohan Min (21029916) (author), Shuanghua Yang (16940404) (author), Yong Chen (109188) (author), Dirk Pons (21029919) (author)
منشور في:	2025
الموضوعات:	Biotechnology Cancer Mental Health Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified individuals &# 8217 g ., electrocardiograms deep residual network gradient boosting machine assess fatigue states process system operations mfd typically rely collect facial data mental fatigue status machine learning model combines computer vision existing mfd methods mental fatigue detection mental fatigue machine learning computer vision fatigue analysis unsafe operations traditional methods dimensional data biological data substantial risk study introduces results show require operators real situation random forest proposed method new method human reliability diminishing concentration constant contact
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The mental fatigue detection framework.

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