Flagging 发表于 2025-3-23 11:15:48

Machine Learning Systems for Detecting Driver Drowsiness,collected through automatic eye tracking and an accelerometer. The system was able to predict sleep and crash episodes on a simulator with 98% accuracy across subjects. It is the highest prediction rate reported to date for detecting drowsiness. Moreover, the analysis revealed new information about human facial behavior for drowsy drivers.

合乎习俗 发表于 2025-3-23 16:21:38

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芳香一点 发表于 2025-3-23 20:06:58

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助记 发表于 2025-3-24 00:22:25

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强行引入 发表于 2025-3-24 03:18:10

n systems; and new methods for predicting driving actions using driving signals...In-Vehicle Corpus and Signal Processing for Driver Behavior. is appropriate for researchers, engineers, and professionals working in signal processing technologies, next generation vehicle design, and networks for mobile platforms..978-1-4419-4640-9978-0-387-79582-9

不能妥协 发表于 2025-3-24 06:37:11

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EXTOL 发表于 2025-3-24 14:12:50

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SLING 发表于 2025-3-24 18:07:01

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Vasoconstrictor 发表于 2025-3-24 19:38:51

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Bridle 发表于 2025-3-25 02:15:37

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查看完整版本: Titlebook: In-Vehicle Corpus and Signal Processing for Driver Behavior; Kazuya Takeda,John H. L. Hansen,Hüseyin Abut Book 2009 Springer-Verlag US 200