期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：7
页码：2147-2150
DOI：10.35629/5252-030719671970
语种：English
出版社：IJAEM JOURNAL
摘要：Somnolence is one among the most reason for road accidents. Driver somnolence detection may be a key technology that may forestall fatal automotive accidents caused by drowsy driving. the current work proposes a driver somnolence detection rule supported pulse variability (HRV) analysis and validates the planned methodology by scrutiny with electroencephalography (EEG)-based sleep marking. Recently, somnolence detection of driver supported bio signal like EKG is being studied. Alterations throughout somnolence, fatigue, and stress of the motive force are often obtained from pulse variability (HRV). HRV springs from interval of RR in EKG. during this article, we have a tendency to gift somnolence detection victimisation HRV analysis supported microcontroller unit.
关键词：Python is employed as a language to implement the concept;Python3 Interpreter;OpenCV and Dlib libraries
