A novel algorithm for detecting the drowsiness onset in real-time
نویسندگان
چکیده
Traffic accidents due to drivers falling asleep while driving is an important cause of death, and effective techniques for coping with this phenomenon are needed. In paper we present a simple, yet algorithm, based on heart rate variability analysis. Results the experimental validation reported: two test sessions were performed, one in domestic environments realistic by using dynamic simulator. The results confirm obtained previous work (Groppo et al. , 2020), capability proposed algorithm predicting sleep physiological signal that can be collected at wrist driver.
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با توجه به تجزیه و تحلیل داده ها ما دریافتیم که سطح درامد و تعداد نمایندگیها باتقاضای بیمه عمر رابطه مستقیم دارند و نرخ بهره و بار تکفل با تقاضای بیمه عمر رابطه عکس دارند
A Real Time Driver Drowsiness Detection System
Driving with drowsiness is one of the main causes of traffic accidents. Driver fatigue is a significant factor in a large number of vehicle accidents. The development of technologies for detecting or preventing drowsiness at the wheel is a major challenge in the field of accident avoidance systems. Due to the hazard that drowsiness presents on the road, methods need to be developed for countera...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2022
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3167708