Sökning: "Sleepiness detection"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Sleepiness detection.

  1. 1. Detection of driver sleepiness during daylight and darkness

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Johanna Eklind; Amanda Meyerson; [2023]
    Nyckelord :Driver sleepiness; daylight; darkness; driving simulator study; ecg; eog; signal processing; exploratory analysis; statistical analysis; ANOVA; biomedical engineering;

    Sammanfattning : Driving sleepiness is a serious problem worldwide. It is of interest to develop reliable sleepiness detection systems to implement in vehicles, and for such a system both physi-ological data and driver performance data can be used. LÄS MER

  3. 2. Video-Based Estimation of Driver Sleepiness Using Machine Learning

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Simon Knutsson; [2022]
    Nyckelord :Driver sleepiness; drowsiness; classification; estimation; machine learning;

    Sammanfattning : Approximately 1.35 million people die each year in car accidents and it is the most common cause of death for people aged 5-29. Because of this it is of large interest to be able to detect when a driver enters a sleepy state and to be able to alert the driver. LÄS MER

  4. 3. Sömnapnens inverkan på vuxna med hjärtsjukdom : en litteraturöversikt

    Magister-uppsats, Sophiahemmet Högskola

    Författare :Sara Hedberg; Eva Qvarnström; [2022]
    Nyckelord :Heart disease; daily life; sleep apnea; quality of life; Hjärtsjukdom; dagligt liv; livskvalité; sömnapné;

    Sammanfattning : Bakgrund: Sömnapné är en vanlig men underdiagnostiserad sjukdom och kännetecknas av upprepade andningsuppehåll under sömnen. Tillståndet förekommer ofta i samvariation med hjärtsjukdom och är ett ökande hälsoproblem. LÄS MER

  5. 4. Deep Learning for Driver Sleepiness Classification using Bioelectrical Signals and Karolinska Sleepiness Scale

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Maja Jonsson; Jennifer Brown; [2021]
    Nyckelord :Sleepiness detection; EEG; KSS; deep learning; driving; classification;

    Sammanfattning : Driver sleepiness contributes to a large amount of all road traffic crashes. Developing an objective measurement of driver sleepiness in order to prevent eventual traffic accidents is desirable. LÄS MER

  7. 5. NON-CONTACT BASED PERSON’S SLEEPINESS DETECTION USING HEART RATE VARIABILITY

    Kandidat-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Fanny Danielsson; [2019]
    Nyckelord :sleepiness; machine learning; heart rate variability;

    Sammanfattning : Today many strategies of monitoring health status and well-being are done through measurementmethods that are connected to the body, e.g. sensors or electrodes. These are often complicatedand requires personal assistance in order to use, because of advanced hardware and attachmentissues. LÄS MER