Pujitha Gunaratne
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View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension
MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension Open
MobiScout is an iOS application designed to monitor users' driving habits and physiological conditions on the road. This app offers a cost-effective, next-generation solution for data collection and analysis in naturalistic driving studies…
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach
Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach Open
Given the growing prevalence of diabetes, there has been significant interest in determining how diabetes affects instrumental daily functions, like driving. Complication of glucose control in diabetes includes hypoglycemic and hyperglycem…
View article: Evaluation of Capacitive ECG for Unobtrusive Atrial Fibrillation Monitoring
Evaluation of Capacitive ECG for Unobtrusive Atrial Fibrillation Monitoring Open
Unobtrusive collection of vital signs using sensors embedded in beds, chairs, and automobile seats can longitudinally monitor patients for abnormal heart conditions outside of the hospital to inform both preventative and post-diagnosis car…
View article: Vision-based Analysis of Driver Activity and Driving Performance Under the Influence of Alcohol
Vision-based Analysis of Driver Activity and Driving Performance Under the Influence of Alcohol Open
About 30% of all traffic crash fatalities in the United States involve drunk drivers, making the prevention of drunk driving paramount to vehicle safety in the US and other locations which have a high prevalence of driving while under the …
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: MobiScout: A Scalable Cloud-Based Driving and Activity Monitoring Platform Featuring an IOS App and a WatchOS Extension
MobiScout: A Scalable Cloud-Based Driving and Activity Monitoring Platform Featuring an IOS App and a WatchOS Extension Open
MobiScout is an iOS software that monitors users' driving habits and physiological conditions while on the road. The Mobiscout app was created to provide a low-cost next-generation data collection and analysis solution for naturalistic dri…
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: Silent failure detection in partial automation as a function of visual attentiveness
Silent failure detection in partial automation as a function of visual attentiveness Open
The simulated glance response time distributions can be used in more sophisticated ways when combined with other data. The glance response time probability may be conditioned on other variables like time on task, time of day, prevalence of…
View article: A Portable Multi-Modal Cushion for Continuous Monitoring of a Driver’s Vital Signs
A Portable Multi-Modal Cushion for Continuous Monitoring of a Driver’s Vital Signs Open
With higher levels of automation in vehicles, the need for robust driver monitoring systems increases, since it must be ensured that the driver can intervene at any moment. Drowsiness, stress and alcohol are still the main sources of drive…
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction
Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction Open
To make safe transitions from autonomous to manual control, a vehicle must have a representation of the awareness of driver state; two metrics which quantify this state are the Observable Readiness Index and Takeover Time. In this work, we…
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: IEEE Transactions on Intelligent Transportation Systems Publication Information
IEEE Transactions on Intelligent Transportation Systems Publication Information Open
View article: IEEE Transactions on Intelligent Transportation Systems Publication Information
IEEE Transactions on Intelligent Transportation Systems Publication Information Open
View article: Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity
Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity Open
View article: Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data Open
With increasing automation in passenger vehicles, the study of safe and smooth occupant-vehicle interaction and control transitions is key. In this study, we focus on the development of contextual, semantically meaningful representations o…
View article: Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation
Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation Open
Understanding occupant-vehicle interactions by modeling control transitions is important to ensure safe approaches to passenger vehicle automation. Models which contain contextual, semantically meaningful representations of driver states c…
View article: Predicting Take-over Time for Autonomous Driving with Real-World Data:\n Robust Data Augmentation, Models, and Evaluation
Predicting Take-over Time for Autonomous Driving with Real-World Data:\n Robust Data Augmentation, Models, and Evaluation Open
Understanding occupant-vehicle interactions by modeling control transitions\nis important to ensure safe approaches to passenger vehicle automation. Models\nwhich contain contextual, semantically meaningful representations of driver\nstate…
View article: Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling\n with Real-World Data
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling\n with Real-World Data Open
With increasing automation in passenger vehicles, the study of safe and\nsmooth occupant-vehicle interaction and control transitions is key. In this\nstudy, we focus on the development of contextual, semantically meaningful\nrepresentation…