69 citations · 110 across the 10 of their papers we have counts for
4 papers · 1 filter
Assessing Workers Neuro-physiological Stress Responses to Augmented Reality Safety Warnings in Immersive Virtual Roadway Work Zones
Fatemeh Banani Ardecani, Omidreza Shoghli
This paper presents a multi-stage experimental framework that integrates immersive Virtual Reality (VR) simulations, wearable sensors, and advanced signal processing to investigate…
Electrodermal Insights into Stress Dynamics of AR-Assisted Safety Warnings in Virtual Roadway Work Zone Environments
Fatemeh Banani Ardecani, Omidreza Shoghli
This study examines stress levels in roadway workers utilizing AR-assisted multi-sensory warning systems under varying work intensities. A high-fidelity Virtual Reality environment…
Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion
Zeyang Zheng, Arman Hosseini, Dong Chen +2
The increasing adoption of electric scooters (e-scooters) in urban areas has coincided with a rise in traffic accidents and injuries, largely due to their small wheels, lack of sus…
Adoption of AI-Assisted E-Scooters: The Role of Perceived Trust, Safety, and Demographic Drivers
Amit Kumar, Arman Hosseini, Arghavan Azarbayjani +2
E-scooters have become a more dominant mode of transport in recent years. However, the rise in their usage has been accompanied by an increase in injuries, affecting the trust and…