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DETECTION OF AN ACCIDENT OF Drowsiness
专利权人:
ЭлЭлСи (US);МАЙКРОСОФТ ТЕКНОЛОДЖИ ЛАЙСЕНСИНГ
发明人:
КАННАН, Аадхарш (US),РАМАСВАМИ, Говинд (US),ГУДЖДЖАР, Авинаш (US),БХАСКАР, Сринивас (US)
申请号:
RU2018121883
公开号:
RU2018121883A
申请日:
2016.12.08
申请国别(地区):
RU
年份:
2019
代理人:
摘要:
Drowsiness onset detection implementations predict when a person transitions from a state of wakefulness to a state of drowsiness based on heart rate information. Appropriate action is then taken to stimulate the person to a state of wakefulness or notify other people of their state (with respect to drowsiness/alertness). This generally involves capturing a person's heart rate information over time using one or more heart rate (HR) sensors and then computing a heart- rate variability (HRV) signal from the captured heart rate information. Using Discrete Fourier Transform and DiscreteWavelet Transform, the HRV signal is analyzed to extract features that are indicative of an individual's transition from a wakeful state to a drowsy state. The extracted features are input into an artificial neural net (ANN) that has been trained using the same features to identify when an individual makes the aforementioned transition to drowsiness. Whenever an onset of drowsiness is detected, a warning is initiated.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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