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
http://reply.papertrans.cn/47/4632/463156/463156_12.png芳香一点 发表于 2025-3-23 20:06:58
http://reply.papertrans.cn/47/4632/463156/463156_13.png助记 发表于 2025-3-24 00:22:25
http://reply.papertrans.cn/47/4632/463156/463156_14.png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
http://reply.papertrans.cn/47/4632/463156/463156_16.pngEXTOL 发表于 2025-3-24 14:12:50
http://reply.papertrans.cn/47/4632/463156/463156_17.pngSLING 发表于 2025-3-24 18:07:01
http://reply.papertrans.cn/47/4632/463156/463156_18.pngVasoconstrictor 发表于 2025-3-24 19:38:51
http://reply.papertrans.cn/47/4632/463156/463156_19.pngBridle 发表于 2025-3-25 02:15:37
http://reply.papertrans.cn/47/4632/463156/463156_20.png