Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"Driver monitoring"”.
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Road and Driver Monitoring System
In this work we present a driver and road monitoring system capable of scaling to the number of drivers in any region without incurring the high costs of implementation, thus allowing for safer driving conditions and shorter accident response times. We propose the Smartphone Road Monitoring (SRoM) …
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Motion-aircraft resistant design of photoplethysmograph ring sensor for driver monitoring
… between the Mental Workload of an automobile driver with his or her physiological measurements, especially the Heart Rate Variability (HRV) measurements. In order to make a driver's HRV monitoring on the road possible, a new photoplethysmograph (PPG) Ring Sensor prototype has been devised …
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Effects of a Driver Monitoring System on Driver Trust, Satisfaction, and Performance with an Automated Driving System
… was performed with the goal of delineating how drivers' interactions with an Automated Driving System were affected by a Driver Monitoring System (DMS), which provided alerts to the driver when he or she became inattentive to the driving environment. There were two specific research questions. …
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A machine learning approach to predict emotional arousal and aggressive driving from EDA and heart rate signals
… risk of road accidents, especially among young drivers. This study aims to predict aggressive driving behavior and emotional arousal using physiological signals, Electrodermal Activity (EDA) and Heart Rate (HR), collected via the Empatica E4 wristband in real-world driving conditions. A total of …
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Development of Resource-Constrained Computer Vision Algorithms: From Conventional Machine Learning to Deep Learning
… systems.<br/><br/>The second project addresses driver monitoring applications using a single time-of-flight camera. The project realises human detection by employing SMSLBP. The work also marks a transition to deep learning by employing a shared Convolutional Neural Network (CNN) architecture …
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Investigating and Modeling the Effects of Task and Context on Drivers' Attention
… can lead to severe consequences. Technology for driver monitoring and assistance aims to mitigate these issues, but requires a deeper understanding of how drivers observe their surroundings to make decisions. In this dissertation, we investigate the link between where drivers look, tasks they …
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Towards A Comprehensive Evaluation of Driving Impairment and Assessment Technologies
… challenge assumptions that cannabis-positive drivers may engage in safer driving behavior. In general, this dataset provides detailed insight into how alcohol- and cannabis-related impairment may manifest in routine driving behavior. The second study evaluated alcohol's effects on physiology …
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Cardiac Signals: Remote Measurement and Applications
The dissertation investigates the promises and challenges for application of cardiac signals in biometrics and affective computing, and noninvasive measurement of cardiac signals. We have mainly discussed two major cardiac signals: electrocardiogram (ECG), and photoplethysmogram (PPG). ECG and PPG …