睡意检测系统

Sidharth Venugopal, Nikhil Aj, Shanmukharadhya K.S
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引用次数: 0

摘要

一种睡意检测系统利用技术发现并警告那些可能即将打盹或变得不那么警惕的人。为了评估困倦程度,该系统使用各种生理或行为信号,包括眼球运动、脑电波和车辆控制模式。目前正在进行研究,以创建可靠的睡意检测系统,这可能对各种企业和个人的安全、事故避免和生产力产生积极影响。尽管这些技术的准确性和可靠性各不相同,但它们都有可能提高各行各业的安全性,降低因困倦引起的事故风险。通过降低事故成本和提高生产率,困倦检测系统的部署也可能产生有利的经济效应。总的来说,创建精确可靠的困倦检测系统是一个重要的研究领域,对一系列企业和个人都有潜在的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drowsiness Detection System
A sleepiness detection system uses technology to spot and warn people who might be about to nod off or become less vigilant. To assess the degree of drowsiness, the system uses a variety of physiological or behavioural signs, including eye movements, brain waves, and patterns of vehicle control. Research is now being done to create reliable sleepiness detection systems, which could have positive effects on safety, accident avoidance, and productivity for a variety of businesses and people. These technologies all have the potential to increase safety in a variety of industries and lower the risk of accidents brought on by drowsiness, even though their accuracy and dependability vary. By lowering accident costs and boosting productivity, the deployment of sleepiness detection systems may also have favourable economic effects. Over all, the creation of precise and trustworthy sleepiness detection systems is an important field of study with potential advantages for a range of businesses and people.
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