Hearing-impaired drivers face challenges in detecting and responding to critical auditory signals, like car horns and sirens, vital for road safety. This issue is particularly acute in Alaska, where remote areas and
environmental conditions worsen transportation barriers. Alaska Native communities face greater mobility challenges, further limiting access to assistive technologies.
This project from the IEEE Alaska Section and the University of Alaska Anchorage aims to develop AI-powered assistive technologies to enhance safety for hearing-impaired drivers. Using a driving simulator and machine learning, we will create solutions like pitch-adjusted signals, visual alerts, and haptic feedback. These innovations will improve hazard detection and provide real-time feedback to drivers, specifically benefiting Alaska Native communities. By addressing this critical gap in road safety, the project promotes inclusivity and equity, with broader societal benefits.
This project was made possible by a $6,910.00 grant from the IEEE Standards Association, an EPICS in IEEE partner.