Hypovigilance Detection Based on Eyelids Behavior Study
نویسندگان
چکیده
منابع مشابه
Hypovigilance Detection Based on Eyelids Behavior Study
The supervision of people in special circumstances, having as their purpose detecting risk situations, is an area which has many applications. In this context we are interested, in this paper, the problems of driver drowsiness detection based on video analysis. We describe a new approach to detect reduced alertness automatically, to prevent the driver. Unlike many other works, our noninvasively...
متن کاملElectromyogram signal based hypovigilance detection
In recent years, driver drowsiness and driver inattention are the major causes for road accidents leading to severe traumas such as physical injuries, deaths, and economic losses. This necessitates the need for a system that can alert the driver on time, whenever he is drowsy or inattentive. Previous research works report the detection of either drowsiness or inattention only. In this work, we ...
متن کاملstudy of hash functions based on chaotic maps
توابع درهم نقش بسیار مهم در سیستم های رمزنگاری و پروتکل های امنیتی دارند. در سیستم های رمزنگاری برای دستیابی به احراز درستی و اصالت داده دو روش مورد استفاده قرار می گیرند که عبارتند از توابع رمزنگاری کلیددار و توابع درهم ساز. توابع درهم ساز، توابعی هستند که هر متن با طول دلخواه را به دنباله ای با طول ثابت تبدیل می کنند. از جمله پرکاربردترین و معروف ترین توابع درهم می توان توابع درهم ساز md4, md...
Hypovigilance Detection for UCAV Operators Based on a Hidden Markov Model
With the advance of military technology, the number of unmanned combat aerial vehicles (UCAVs) has rapidly increased. However, it has been reported that the accident rate of UCAVs is much higher than that of manned combat aerial vehicles. One of the main reasons for the high accident rate of UCAVs is the hypovigilance problem which refers to the decrease in vigilance levels of UCAV operators wh...
متن کاملWeb Robot Detection based on Monotonous Behavior
Several studies examined various features on how to most effectively detect web robots. Based on an insight that most web robots, regardless of specifics, would exhibit focused and therefore monotonous behavior, this paper proposes that monitoring the rate of behavioral change is highly effective in detecting sessions initiated by web robots. Empirical evaluation performed on more than one bill...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Recent Contributions from Engineering, Science & IT (iJES)
سال: 2013
ISSN: 2197-8581
DOI: 10.3991/ijes.v1i1.2927