As technology and artificial intelligence conquer a place under the spotlight in automotive world, driver drowsiness monitoring systems have sparked much interest as way to increase safety avoid sleepiness-related accidents. Such technologies, however, stumble upon observation that each presents distinct set of behavioral physiological manifestations drowsiness, thus rendering its objective ass...

<span>The subject of fatigue monitoring is becoming more important in transportation and traffic management (including, for instance, the development systems to detect prevent driver drowsiness). People who work offices are also susceptible exhaustion, but there currently no widely deployed system that able monitor this condition. In most cases, driver’s eyelids will become heavy due exha...

BACKGROUND Given the hazardous nature of the work in steel factories and that the staff has to deal with hazardous equipment and machines, improper sleep quality and drowsiness among the works tackles performance and boosts rate of job accidents. This study is aimed to survey the quality of sleep and sleepiness status and the pertinent factors among the workers in a rolling mill and a steel pro...

background: methanol is a colorless and poisonous liquid that is commonly used as an industrial and household solvent. methanol poisoning is a rare but extremely hazardous form of in toxication that affects the central nervous system and causes visual disorder, drowsiness, seizures and coma.  case presentation: a 29-years-old man with methanol intoxication presented with drowsiness and acidosis...

In recent years, traffic accident is one of the critical reasons to cause deaths of drivers. Drivers’ drowsiness has been implicated as a causal factor in many accidents because of the marked decline in drivers’ perception of risk and recognition of danger, and diminished vehicle handling abilities. Consequently, if the mental state of drivers could be real-time monitored, drowsiness detection ...

Automotive has gained several benefits from the Ambient Intelligent researches involving the deployment of sensors and hardware devices into an intelligent environment surrounding people, meeting users’ requirements and anticipating their needs. One of the main topics in automotive is to anticipate driver needs and safety, in terms of preventing critical and dangerous events. Considering the hi...

This study proposes a drowsiness detection approach based on the combination of several different detection methods, with robustness to the input signal loss. Hence, if one of the methods fails for any reason, the whole system continues to work properly. To choose correct combination of the available methods and to utilize the benefits of methods of different categories, an image processing-bas...

Based on previous researches and current research indoor contaminations in most of the time were more than outdoor contaminations. In according to, most of our times have been spent in indoor environments (85-90%), therefore, it is necessary to investigate indoor environments. Symptoms of sick building syndrome are Headache, dizziness, drowsiness. Unknown reasons of disease above mentioned and ...

Based on previous researches and current research indoor contaminations in most of the time were more than outdoor contaminations. In according to, most of our times have been spent in indoor environments (85-90%), therefore, it is necessary to investigate indoor environments. Symptoms of sick building syndrome are Headache, dizziness, drowsiness. Unknown reasons of disease above mentioned and ...

Introduction: Restless legs syndrome (RLS) is a neurological sensory-motor disorder that is observed as an unpleasant sensation in the legs, especially when sitting or lying down and at rest. This study aimed to determine the prevalence RLS and its related factors among older adults in Eslamabad-e-Gharb, Kermanshah province, Iran in 2021. Methods: Totally, 240 elderlies entered the study using...