Search for dissertations about: "EEG, driving"
Found 5 swedish dissertations containing the words EEG, driving.
-
1. Indicators and predictors of sleepiness
Abstract : Sleep is a basic need as important as physical fitness and good nutrition. Without enough sleep, we will create a sleep debt and experience sleepiness. Sleepiness can be defined as the inability to stay awake, a condition that has become a health problem in our 24-hour-7-day-a-week society. READ MORE
-
2. An integrative approach to neurocardiologic mechanisms of heart disease risk in professional drivers : application of neuro-psycophysiologic and work environment models
Abstract : Aim: This dissertation aims to apply, develop and integrate neurophysiologic, psychophysiologic, and work environment models, along with behavioral and biomedical risk factors" to provide insight into the neurocardiologic mechanisms of heart disease risk in professional drivers (PD). Methods: Subjects were male PD, age 25-52: 13 with ischemic heart disease(IHD), 12 hypertensives (HTN), 10 borderline hypertensives (BHTN) and 34 normotensives (NTN), and 23 non-PD controls. READ MORE
-
3. Intelligent Driver Mental State Monitoring System Using Physiological Sensor Signals
Abstract : Driving a vehicle involves a series of events, which are related to and evolve with the mental state (such as sleepiness, mental load, and stress) of the driv- er. These states are also identified as causal factors of critical situations that can lead to road accidents and vehicle crashes. READ MORE
-
4. Multivariate Data Analytics to Identify Driver’s Sleepiness, Cognitive load, and Stress
Abstract : Driving a vehicle in a dynamic traffic environment requires continuous adaptation of a complex manifold of physiological and cognitive activities. Impaired driving due to, for example, sleepiness, inattention, cognitive load or stress, affects one’s ability to adapt, predict and react to upcoming traffic events. READ MORE
-
5. Explainable Artificial Intelligence for Enhancing Transparency in Decision Support Systems
Abstract : Artificial Intelligence (AI) is recognized as advanced technology that assist in decision-making processes with high accuracy and precision. However, many AI models are generally appraised as black boxes due to their reliance on complex inference mechanisms. READ MORE